From 3a75d52f44f10eb8c33529105c48b769e70e00f7 Mon Sep 17 00:00:00 2001 From: Adrian Nicolae Popa Date: Thu, 12 Dec 2024 15:16:50 +0200 Subject: [PATCH] [test] metadatas to test maxAIFabricVersion --- metadata/AustralianInvoices__1__metadata.json | 21 ------------ metadata/AustralianInvoices__2__metadata.json | 21 ------------ metadata/AustralianInvoices__3__metadata.json | 21 ------------ metadata/ComputerVision__1__metadata.json | 21 ------------ .../DocumentUnderstanding__1__metadata.json | 21 ------------ .../DocumentUnderstanding__2__metadata.json | 21 ------------ .../DocumentUnderstanding__3__metadata.json | 21 ------------ .../DocumentUnderstanding__4__metadata.json | 21 ------------ ...nglishTextClassification__1__metadata.json | 21 ------------ ...nglishTextClassification__2__metadata.json | 23 ------------- metadata/FormExtractor__1__metadata.json | 21 ------------ .../HandwritingRecognition__1__metadata.json | 21 ------------ metadata/IndianInvoices__1__metadata.json | 21 ------------ metadata/IndianInvoices__2__metadata.json | 21 ------------ metadata/IndianInvoices__3__metadata.json | 21 ------------ ...IntelligentFormExtractor__1__metadata.json | 21 ------------ ...lligentKeywordClassifier__1__metadata.json | 21 ------------ metadata/Invoices__1__metadata.json | 21 ------------ metadata/Invoices__2__metadata.json | 21 ------------ metadata/Invoices__3__metadata.json | 21 ------------ metadata/Invoices__40__metadata.json | 33 +++++++++++++++++++ metadata/Invoices__41__metadata.json | 33 +++++++++++++++++++ metadata/Invoices__42__metadata.json | 33 +++++++++++++++++++ metadata/Invoices__43__metadata.json | 33 +++++++++++++++++++ metadata/Invoices__44__metadata.json | 33 +++++++++++++++++++ ...adata.json => Invoices__45__metadata.json} | 24 ++++++++++---- metadata/Invoices__46__metadata.json | 33 +++++++++++++++++++ metadata/JapaneseInvoices__1__metadata.json | 21 ------------ metadata/PurchaseOrders__1__metadata.json | 21 ------------ metadata/PurchaseOrders__2__metadata.json | 21 ------------ metadata/PurchaseOrders__3__metadata.json | 21 ------------ metadata/QuestionAnswering__1__metadata.json | 21 ------------ metadata/Receipts__1__metadata.json | 21 ------------ metadata/Receipts__2__metadata.json | 21 ------------ metadata/Receipts__3__metadata.json | 21 ------------ metadata/Receipts__4__metadata.json | 21 ------------ metadata/SentimentAnalysis__1__metadata.json | 21 ------------ ...TPOTAutoMLClassification__1__metadata.json | 21 ------------ metadata/TextSummarization__1__metadata.json | 21 ------------ metadata/UiPathDocumentOCR__1__metadata.json | 21 ------------ metadata/UtilityBills__1__metadata.json | 21 ------------ metadata/UtilityBills__2__metadata.json | 21 ------------ metadata/UtilityBills__3__metadata.json | 21 ------------ 43 files changed, 216 insertions(+), 764 deletions(-) delete mode 100644 metadata/AustralianInvoices__1__metadata.json delete mode 100644 metadata/AustralianInvoices__2__metadata.json delete mode 100644 metadata/AustralianInvoices__3__metadata.json delete mode 100644 metadata/ComputerVision__1__metadata.json delete mode 100644 metadata/DocumentUnderstanding__1__metadata.json delete mode 100644 metadata/DocumentUnderstanding__2__metadata.json delete mode 100644 metadata/DocumentUnderstanding__3__metadata.json delete mode 100644 metadata/DocumentUnderstanding__4__metadata.json delete mode 100644 metadata/EnglishTextClassification__1__metadata.json delete mode 100644 metadata/EnglishTextClassification__2__metadata.json delete mode 100644 metadata/FormExtractor__1__metadata.json delete mode 100644 metadata/HandwritingRecognition__1__metadata.json delete mode 100644 metadata/IndianInvoices__1__metadata.json delete mode 100644 metadata/IndianInvoices__2__metadata.json delete mode 100644 metadata/IndianInvoices__3__metadata.json delete mode 100644 metadata/IntelligentFormExtractor__1__metadata.json delete mode 100644 metadata/IntelligentKeywordClassifier__1__metadata.json delete mode 100644 metadata/Invoices__1__metadata.json delete mode 100644 metadata/Invoices__2__metadata.json delete mode 100644 metadata/Invoices__3__metadata.json create mode 100644 metadata/Invoices__40__metadata.json create mode 100644 metadata/Invoices__41__metadata.json create mode 100644 metadata/Invoices__42__metadata.json create mode 100644 metadata/Invoices__43__metadata.json create mode 100644 metadata/Invoices__44__metadata.json rename metadata/{Invoices__4__metadata.json => Invoices__45__metadata.json} (51%) create mode 100644 metadata/Invoices__46__metadata.json delete mode 100644 metadata/JapaneseInvoices__1__metadata.json delete mode 100644 metadata/PurchaseOrders__1__metadata.json delete mode 100644 metadata/PurchaseOrders__2__metadata.json delete mode 100644 metadata/PurchaseOrders__3__metadata.json delete mode 100644 metadata/QuestionAnswering__1__metadata.json delete mode 100644 metadata/Receipts__1__metadata.json delete mode 100644 metadata/Receipts__2__metadata.json delete mode 100644 metadata/Receipts__3__metadata.json delete mode 100644 metadata/Receipts__4__metadata.json delete mode 100644 metadata/SentimentAnalysis__1__metadata.json delete mode 100644 metadata/TPOTAutoMLClassification__1__metadata.json delete mode 100644 metadata/TextSummarization__1__metadata.json delete mode 100644 metadata/UiPathDocumentOCR__1__metadata.json delete mode 100644 metadata/UtilityBills__1__metadata.json delete mode 100644 metadata/UtilityBills__2__metadata.json delete mode 100644 metadata/UtilityBills__3__metadata.json diff --git a/metadata/AustralianInvoices__1__metadata.json b/metadata/AustralianInvoices__1__metadata.json deleted file mode 100644 index 61b06cc8..00000000 --- a/metadata/AustralianInvoices__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Australian Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "displayName": "AustralianInvoices", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_DU", - "name": "AustralianInvoices", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/australianinvoices:1" -} diff --git a/metadata/AustralianInvoices__2__metadata.json b/metadata/AustralianInvoices__2__metadata.json deleted file mode 100644 index fca4117d..00000000 --- a/metadata/AustralianInvoices__2__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "Release v2020.8", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Australian Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "displayName": "AustralianInvoices", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "AustralianInvoices", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/australianinvoices:2" -} diff --git a/metadata/AustralianInvoices__3__metadata.json b/metadata/AustralianInvoices__3__metadata.json deleted file mode 100644 index 02617853..00000000 --- a/metadata/AustralianInvoices__3__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "name": "AustralianInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.10.4", - "cpu": 0, - "inputType": "JSON", - "displayName": "AustralianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/australianinvoices:3" -} diff --git a/metadata/ComputerVision__1__metadata.json b/metadata/ComputerVision__1__metadata.json deleted file mode 100644 index 89cd9475..00000000 --- a/metadata/ComputerVision__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "Release v2020.10", - "cpu": 0, - "description": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", - "displayName": "ComputerVision", - "gpu": 0, - "inputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_CV", - "name": "ComputerVision", - "outputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/computervision:1" -} \ No newline at end of file diff --git a/metadata/DocumentUnderstanding__1__metadata.json b/metadata/DocumentUnderstanding__1__metadata.json deleted file mode 100644 index 8139f780..00000000 --- a/metadata/DocumentUnderstanding__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "displayName": "DocumentUnderstanding", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_DU", - "name": "DocumentUnderstanding", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/documentunderstanding:1" -} diff --git a/metadata/DocumentUnderstanding__2__metadata.json b/metadata/DocumentUnderstanding__2__metadata.json deleted file mode 100644 index 9766b3bd..00000000 --- a/metadata/DocumentUnderstanding__2__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "Release v2020.7", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "displayName": "DocumentUnderstanding", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_DU", - "name": "DocumentUnderstanding", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/documentunderstanding:2" -} diff --git a/metadata/DocumentUnderstanding__3__metadata.json b/metadata/DocumentUnderstanding__3__metadata.json deleted file mode 100644 index 0afeba87..00000000 --- a/metadata/DocumentUnderstanding__3__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "Release v2020.8", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "displayName": "DocumentUnderstanding", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "DocumentUnderstanding", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/documentunderstanding:3" -} diff --git a/metadata/DocumentUnderstanding__4__metadata.json b/metadata/DocumentUnderstanding__4__metadata.json deleted file mode 100644 index bc53b5c0..00000000 --- a/metadata/DocumentUnderstanding__4__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "name": "DocumentUnderstanding", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.10.4", - "cpu": 0, - "inputType": "JSON", - "displayName": "DocumentUnderstanding", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/documentunderstanding:4" -} diff --git a/metadata/EnglishTextClassification__1__metadata.json b/metadata/EnglishTextClassification__1__metadata.json deleted file mode 100644 index aa342d3e..00000000 --- a/metadata/EnglishTextClassification__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "This is the preview version of a generic, retrainable model for English Classification. This ML Package must be retrained, if deployed without training first, deployment will fail with an error stating that the model is not trained. This model is a deep learning architecture for language classification. It is based on RoBERTa, a self-supervised method for pretraining natural language processing systems. A GPU can be used both at serving time and training time. A GPU delivers ~5-10x improvement in speed. The original paper can be found here https://arxiv.org/abs/1907.11692 by Yinhan Liu, Myle Ott et al. The model was open-sourced by Facebook AI Research.", - "displayName": "EnglishTextClassification", - "gpu": 0, - "inputDescription": "Text to be classified as String: 'I loved this movie.'", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36", - "name": "EnglishTextClassification", - "outputDescription": "JSON with pedicted class name, associated confidence on that class prediction (between 0-1). For example: {\"prediction\": \"Positive\", \"confidence\": 0.9422031841278076,}", - "processorType": "GPU", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectId": "[project-id]", - "projectName": "Language Analysis", - "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", - "tenantName": "Open-Source Packages", - "imagePath": "registry.replicated.com/aif-core/englishtextclassification:1" -} diff --git a/metadata/EnglishTextClassification__2__metadata.json b/metadata/EnglishTextClassification__2__metadata.json deleted file mode 100644 index 641bc559..00000000 --- a/metadata/EnglishTextClassification__2__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "This is the preview version of a generic, retrainable model for English Classification. This ML Package must be retrained, if deployed without training first, deployment will fail with an error stating that the model is not trained. This model is a deep learning architecture for language classification. It is based on RoBERTa, a self-supervised method for pretraining natural language processing systems. A GPU can be used both at serving time and training time. A GPU delivers ~5-10x improvement in speed. The original paper can be found here https://arxiv.org/abs/1907.11692 by Yinhan Liu, Myle Ott et al. The model was open-sourced by Facebook AI Research.", - "displayName": "EnglishTextClassification", - "gpu": 0, - "inputDescription": "Text to be classified as String: 'I loved this movie.'", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36", - "name": "EnglishTextClassification", - "outputDescription": "JSON with pedicted class name, associated confidence on that class prediction (between 0-1). For example: {\"prediction\": \"Positive\", \"confidence\": 0.9422031841278076,}", - "processorType": "GPU", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectId": "[project-id]", - "projectName": "Language Analysis", - "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", - "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/englishtextclassification:2" -} diff --git a/metadata/FormExtractor__1__metadata.json b/metadata/FormExtractor__1__metadata.json deleted file mode 100644 index 888627fa..00000000 --- a/metadata/FormExtractor__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "Release v2020.8", - "cpu": 0, - "description": "This Package provides the Endpoint required by the Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/form-extractor", - "displayName": "FormExtractor", - "gpu": 0, - "inputDescription": "ML Skills deployed using this package are queried directly by Form Extractor Activity. For document types, languages supported and other information about the Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/form-extractor.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "FormExtractor", - "outputDescription": "Please refer to the documentation of the Form Extractor Activity.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/formextractor:1" -} diff --git a/metadata/HandwritingRecognition__1__metadata.json b/metadata/HandwritingRecognition__1__metadata.json deleted file mode 100644 index 316ac9cb..00000000 --- a/metadata/HandwritingRecognition__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "Release v2020.10", - "cpu": 0, - "description": "This Package provides the Handwriting recognition capability required by the Intelligent Form Extractor Package. Deploying this ML Package is required prior to deploying the Intelligent Form Extractor Package. For detailed instructions about the steps required to correctly configure and deploy the Intelligent Form Extractor, see the Out-of-the-box Packages documentation for AI Fabric here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", - "displayName": "HandwritingRecognition", - "gpu": 0, - "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Package also hosted in AI Fabric. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "HandwritingRecognition", - "outputDescription": "Please refer to the documentation of the Intelligent Form Extractor Activity.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/handwritingrecognition:1" -} diff --git a/metadata/IndianInvoices__1__metadata.json b/metadata/IndianInvoices__1__metadata.json deleted file mode 100644 index d416d18c..00000000 --- a/metadata/IndianInvoices__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Indian Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "IndianInvoices", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_DU", - "name": "IndianInvoices", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/indianinvoices:1" -} diff --git a/metadata/IndianInvoices__2__metadata.json b/metadata/IndianInvoices__2__metadata.json deleted file mode 100644 index 39165072..00000000 --- a/metadata/IndianInvoices__2__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "Release v2020.8", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Indian Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "IndianInvoices", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IndianInvoices", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/indianinvoices:2" -} diff --git a/metadata/IndianInvoices__3__metadata.json b/metadata/IndianInvoices__3__metadata.json deleted file mode 100644 index c81ed4e6..00000000 --- a/metadata/IndianInvoices__3__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.10.4", - "cpu": 0, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/indianinvoices:3" -} diff --git a/metadata/IntelligentFormExtractor__1__metadata.json b/metadata/IntelligentFormExtractor__1__metadata.json deleted file mode 100644 index b1c728c0..00000000 --- a/metadata/IntelligentFormExtractor__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "Release v2020.8", - "cpu": 0, - "description": "This Package provides the Endpoint required by the Intelligent Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor. For instructions about the steps required to correctly configure and deploy this Package, see the Out-of-the-box Packages documentation for AI Fabric here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", - "displayName": "IntelligentFormExtractor", - "gpu": 0, - "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Activity. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IntelligentFormExtractor", - "outputDescription": "Please refer to the documentation of the Intelligent Form Extractor Activity.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/intelligentformextractor:1" -} diff --git a/metadata/IntelligentKeywordClassifier__1__metadata.json b/metadata/IntelligentKeywordClassifier__1__metadata.json deleted file mode 100644 index c2f18671..00000000 --- a/metadata/IntelligentKeywordClassifier__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "Release v2020.9", - "cpu": 0, - "description": "This Package provides the Endpoint required by the Intelligent Keyword Classifier activity. Please see more details in the Intelligent Keyword Classifier activity documentation here: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier", - "displayName": "IntelligentKeywordClassifier", - "gpu": 0, - "inputDescription": "ML Skills deployed using this package are queried for the Intelligent Keyword Classifier Activity. To learn how to use the Intelligent Keyword Classifier, visit its documentation: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier .", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IntelligentKeywordClassifier", - "outputDescription": "Please refer to the documentation of the Intelligent Keyword Classifier Activity.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/intelligentkeywordclassifier:1" -} diff --git a/metadata/Invoices__1__metadata.json b/metadata/Invoices__1__metadata.json deleted file mode 100644 index 2ae45a6c..00000000 --- a/metadata/Invoices__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "Invoices", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_DU", - "name": "Invoices", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/invoices:1" -} diff --git a/metadata/Invoices__2__metadata.json b/metadata/Invoices__2__metadata.json deleted file mode 100644 index 16c671e9..00000000 --- a/metadata/Invoices__2__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "Release v2020.7", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "Invoices", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Invoices", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/invoices:2" -} diff --git a/metadata/Invoices__3__metadata.json b/metadata/Invoices__3__metadata.json deleted file mode 100644 index 79853dad..00000000 --- a/metadata/Invoices__3__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "Release v2020.8", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "Invoices", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Invoices", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/invoices:3" -} diff --git a/metadata/Invoices__40__metadata.json b/metadata/Invoices__40__metadata.json new file mode 100644 index 00000000..9c0a2a99 --- /dev/null +++ b/metadata/Invoices__40__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "maxAIFabricVersion": "23.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-10.17-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} \ No newline at end of file diff --git a/metadata/Invoices__41__metadata.json b/metadata/Invoices__41__metadata.json new file mode 100644 index 00000000..0185af44 --- /dev/null +++ b/metadata/Invoices__41__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "maxAIFabricVersion": "24.10", + "languageVersion": 4, + "version": 41, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-10.17-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} \ No newline at end of file diff --git a/metadata/Invoices__42__metadata.json b/metadata/Invoices__42__metadata.json new file mode 100644 index 00000000..e863fcca --- /dev/null +++ b/metadata/Invoices__42__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "maxAIFabricVersion": "25.10", + "languageVersion": 4, + "version": 42, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-10.17-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} \ No newline at end of file diff --git a/metadata/Invoices__43__metadata.json b/metadata/Invoices__43__metadata.json new file mode 100644 index 00000000..c17913f8 --- /dev/null +++ b/metadata/Invoices__43__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "maxAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-10.17-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} \ No newline at end of file diff --git a/metadata/Invoices__44__metadata.json b/metadata/Invoices__44__metadata.json new file mode 100644 index 00000000..0d9a64cc --- /dev/null +++ b/metadata/Invoices__44__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "maxAIFabricVersion": "21.10", + "languageVersion": 4, + "version": 44, + "customVersion": "24.10.6", + "imagePath": "du-semistructured:v24.10-10.17-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} \ No newline at end of file diff --git a/metadata/Invoices__4__metadata.json b/metadata/Invoices__45__metadata.json similarity index 51% rename from metadata/Invoices__4__metadata.json rename to metadata/Invoices__45__metadata.json index b1b5103d..a07d061d 100644 --- a/metadata/Invoices__4__metadata.json +++ b/metadata/Invoices__45__metadata.json @@ -1,13 +1,12 @@ { "name": "Invoices", "retrainable": true, - "gpu": 1, + "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.10.4", - "cpu": 0, + "cpu": 1, "inputType": "JSON", "displayName": "Invoices", "memory": 0, @@ -17,5 +16,18 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/invoices:4" -} + "minAIFabricVersion": "22.10", + "maxAIFabricVersion": "24.4", + "languageVersion": 4, + "version": 45, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-10.17-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} \ No newline at end of file diff --git a/metadata/Invoices__46__metadata.json b/metadata/Invoices__46__metadata.json new file mode 100644 index 00000000..6b8d625f --- /dev/null +++ b/metadata/Invoices__46__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "maxAIFabricVersion": "25.4", + "languageVersion": 4, + "version": 46, + "customVersion": "24.10.8", + "imagePath": "du-semistructured:v24.10-10.17-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} \ No newline at end of file diff --git a/metadata/JapaneseInvoices__1__metadata.json b/metadata/JapaneseInvoices__1__metadata.json deleted file mode 100644 index 9c2a76e3..00000000 --- a/metadata/JapaneseInvoices__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.10.4", - "cpu": 0, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/japaneseinvoices:1" -} diff --git a/metadata/PurchaseOrders__1__metadata.json b/metadata/PurchaseOrders__1__metadata.json deleted file mode 100644 index c318662b..00000000 --- a/metadata/PurchaseOrders__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "displayName": "PurchaseOrders", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_DU", - "name": "PurchaseOrders", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/purchaseorders:1" -} diff --git a/metadata/PurchaseOrders__2__metadata.json b/metadata/PurchaseOrders__2__metadata.json deleted file mode 100644 index 98a0db3c..00000000 --- a/metadata/PurchaseOrders__2__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "Release v2020.8", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "displayName": "PurchaseOrders", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "PurchaseOrders", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/purchaseorders:2" -} diff --git a/metadata/PurchaseOrders__3__metadata.json b/metadata/PurchaseOrders__3__metadata.json deleted file mode 100644 index 61fa5b70..00000000 --- a/metadata/PurchaseOrders__3__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "name": "PurchaseOrders", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.10.4", - "cpu": 0, - "inputType": "JSON", - "displayName": "PurchaseOrders", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/purchaseorders:3" -} diff --git a/metadata/QuestionAnswering__1__metadata.json b/metadata/QuestionAnswering__1__metadata.json deleted file mode 100644 index 5b482686..00000000 --- a/metadata/QuestionAnswering__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "This model was open sourced by ONNX. The model predicts the answer to a question based on some paragraph context. A common use case is in KYC or processing financial reports where a common question can be applied to a standard set of documents. It is based on the state-of-the-art BERT (Bidirectional Encoder Representations from Transformers). The model applies Transformers, a popular attention model, to language modelling to produce an encoding of the input and then trains on the task of question answering. The implementation is open sourced by the license here: https://github.com/onnx/models/blob/master/LICENSE", - "displayName": "QuestionAnswering", - "gpu": 0, - "inputDescription": "The input is a paragraph and question relating to that paragraph. For example:\n```\n{\n \"paragraph\": \"Abraham Lincoln was an American statesman and lawyer who served as the 16th president of the United States from March 1861 until his assassination in April 1865. Lincoln led the nation through the American Civil War, its bloodiest war and its greatest moral, constitutional, and political crisis.[3][4] He preserved the Union, abolished slavery, strengthened the federal government, and modernized the U.S. economy.\",\n \"question\": \"Which year did Lincoln pass away?\"\n}```", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36", - "name": "QuestionAnswering", - "outputDescription": "Answer to the questions asked in input mapped to ids\n```\n{\n \"answer\": \"1865\"\n}\n```", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "Language Comprehension", - "projectDescription": "Models performing cognitively challenging tasks such as text summarization and question answering.", - "tenantName": "Open-Source Packages", - "imagePath": "registry.replicated.com/aif-core/questionanswering:1" -} diff --git a/metadata/Receipts__1__metadata.json b/metadata/Receipts__1__metadata.json deleted file mode 100644 index 7a71fdaa..00000000 --- a/metadata/Receipts__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "Receipts", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_DU", - "name": "Receipts", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/receipts:1" -} diff --git a/metadata/Receipts__2__metadata.json b/metadata/Receipts__2__metadata.json deleted file mode 100644 index 10257e8a..00000000 --- a/metadata/Receipts__2__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "Release v2020.7", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "Receipts", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_DU", - "name": "Receipts", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/receipts:2" -} diff --git a/metadata/Receipts__3__metadata.json b/metadata/Receipts__3__metadata.json deleted file mode 100644 index e9ae610a..00000000 --- a/metadata/Receipts__3__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "Release v2020.8", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "Receipts", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Receipts", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/receipts:3" -} diff --git a/metadata/Receipts__4__metadata.json b/metadata/Receipts__4__metadata.json deleted file mode 100644 index 07434f6e..00000000 --- a/metadata/Receipts__4__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "name": "Receipts", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.10.4", - "cpu": 0, - "inputType": "JSON", - "displayName": "Receipts", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/receipts:4" -} diff --git a/metadata/SentimentAnalysis__1__metadata.json b/metadata/SentimentAnalysis__1__metadata.json deleted file mode 100644 index 29de3a3a..00000000 --- a/metadata/SentimentAnalysis__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "This model was open sourced by Facebook Research. It predicts the sentiment of a text in English Language. Possible predictions are one of \"Very Negative\", \"Negative\", \"Neutral\", \"Positive\", \"Very Positive\". The model was trained on amazon product review data thus, the model predictions may have some unexpected results for different data distributions. A common use case is to route unstructured language content (e.g. emails) to an appropriate responder based on the sentiment of the text. The model implementation is open sourced by the license here: https://github.com/facebookresearch/fastText/blob/master/LICENSE", - "displayName": "SentimentAnalysis", - "gpu": 0, - "inputDescription": "Text to be analyzed.\nFor example:\n'I am dissatisfied with this service'", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36", - "name": "SentimentAnalysis", - "outputDescription": "JSON with class name and confidence on that class prediction (between 0-1). Class prediction can be one of: \"Very Negative\", \"Negative\", \"Neutral\", \"Positive\", \"Very Positive\". For example: {\"sentiment\": \"Very Negative\", \"confidence\": 0.97}", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "Language Analysis", - "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", - "tenantName": "Open-Source Packages", - "imagePath": "registry.replicated.com/aif-core/sentimentanalysis:1" -} diff --git a/metadata/TPOTAutoMLClassification__1__metadata.json b/metadata/TPOTAutoMLClassification__1__metadata.json deleted file mode 100644 index 9be292c4..00000000 --- a/metadata/TPOTAutoMLClassification__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description":"Please train this ML Package before deploying it as it will not return anything otherwise.   \n\nTPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data. Once TPOT is finished searching (or you get tired of waiting), it provides you with the Python code for the best pipeline it found so you can tinker with the pipeline from there. TPOT is built on top of scikit-learn, so all the code it generates should look familiar to scikit-learn users.   \n\nThe model is based on a publication entitled \"Scaling tree-based automated machine learning to biomedical big data with a feature set selector.\" from Trang T. Le, Weixuan Fu and Jason H. Moore (2020) and \"Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science.\" from Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz, and Jason H. Moore. ", - "displayName": "TPOTAutoMLClassification", - "gpu": 0, - "inputDescription":"Features used by the model to make predictions. For example: { \n\n“Feature1”: 12, \n\n“Feature2”: 222, \n\n. \n\n. \n\n“FeatureN”: 110 \n\n} ", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36", - "name": "TPOTAutoMLClassification", - "outputDescription":"JSON with predicted class, associated confidence on that class prediction (between 0-1) and label name. Label names are returned only if the label encoding was performed by the pipeline, within AI Fabric. Some scikit-learn models do not support confidence scores. If the output of the optimization pipeline is a scikit-learn model which does not support confidence scores the output will only contain the predicted class. Ex: { \n\n  \"predictions\": 0,  \n\n  \"confidences\": 0.6, \n\n  \"labels\": “yes” \n\n} \n\nOr if label encoding was done outside of the model: { \n\n  \"predictions\": 0,  \n\n  \"confidences\": 0.6, \n\n}   ", "processorType": "CPU", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "Tabular Data", - "projectDescription": "Models for analyzing tabular data including classification and regression ML Packages", - "tenantName": "Open-Source Packages", - "imagePath": "registry.replicated.com/aif-core/tpotautomlclassification:1" -} \ No newline at end of file diff --git a/metadata/TextSummarization__1__metadata.json b/metadata/TextSummarization__1__metadata.json deleted file mode 100644 index 8e18ed08..00000000 --- a/metadata/TextSummarization__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "This is a abstractive text summarization model open sourced by Facebook AI Research. It is a sequence-to-sequence model based on the paper `BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension` by Lewis, et al.", - "displayName": "TextSummarization", - "gpu": 0, - "inputDescription": "Text to be summarized as a String. Please note this model can be slow for long inputs.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36", - "name": "TextSummarization", - "outputDescription": "JSON with summarized text. The resulting output will have about 20-30% the length of the input", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "Language Comprehension", - "projectDescription": "Models performing cognitively challenging tasks such as text summarization and question answering", - "tenantName": "Open-Source Packages", - "imagePath": "registry.replicated.com/aif-core/textsummarization:1" -} \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__1__metadata.json b/metadata/UiPathDocumentOCR__1__metadata.json deleted file mode 100644 index 811ceba1..00000000 --- a/metadata/UiPathDocumentOCR__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "Release v2020.10", - "cpu": 0, - "description": "Machine Learning model for extracting text from Documents. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/uipathdocumentocr:1" -} \ No newline at end of file diff --git a/metadata/UtilityBills__1__metadata.json b/metadata/UtilityBills__1__metadata.json deleted file mode 100644 index 2a4934bb..00000000 --- a/metadata/UtilityBills__1__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "displayName": "UtilityBills", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_DU", - "name": "UtilityBills", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/utilitybills:1" -} diff --git a/metadata/UtilityBills__2__metadata.json b/metadata/UtilityBills__2__metadata.json deleted file mode 100644 index 861c74fa..00000000 --- a/metadata/UtilityBills__2__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "changeLog": "Release v2020.8", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "displayName": "UtilityBills", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UtilityBills", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/utilitybills:2" -} diff --git a/metadata/UtilityBills__3__metadata.json b/metadata/UtilityBills__3__metadata.json deleted file mode 100644 index b0442dbf..00000000 --- a/metadata/UtilityBills__3__metadata.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.10.4", - "cpu": 0, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "imagePath": "registry.replicated.com/aif-core/utilitybills:3" -}