Description
Describe the bug/ 问题描述 (Mandatory / 必填)
A clear and concise description of what the bug is.
- Hardware Environment(
Ascend/GPU/CPU) / 硬件环境:
Please delete the backend not involved / 请删除不涉及的后端:
/device ascend/GPU/CPU/kirin/等其他芯片 ascend
-
Software Environment / 软件环境 (Mandatory / 必填):
-- MindSpore version (e.g., 1.7.0.Bxxx) : 2.3.1
-- Python version (e.g., Python 3.7.5) : 3.9
-- OS platform and distribution (e.g., Linux Ubuntu 16.04):
-- GCC/Compiler version (if compiled from source): -
Excute Mode / 执行模式 (Mandatory / 必填)(
PyNative/Graph):
Please delete the mode not involved / 请删除不涉及的模式:
/mode pynative
To Reproduce / 重现步骤 (Mandatory / 必填)
使用mindnlp/benchmark/GLUE-QNLI/model_QNLI.py加载google/mobilebert-uncased模型报错
tokenizer = AutoTokenizer.from_pretrained("google/mobilebert-uncased") model=AutoModelForSequenceClassification.from_pretrained("gokuls/mobilebert_sa_GLUE_Experiment_qnli_128", num_labels=2)
Expected behavior / 预期结果 (Mandatory / 必填)
A clear and concise description of what you expected to happen.
Screenshots/ 日志 / 截图 (Mandatory / 必填)
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在mindnlp >mindnlp >transformers > models > auto > configuration_auto.py>CONFIG_MAPPING_NAMES 增加了("mobilebert", "MobileBertConfig")配置之后报
在如下文件中修改后
达到替换 AutoTokenizer直接使用MobileBertTokenizer加载google/mobilebert-uncased相同的报错
Additional context / 备注 (Optional / 选填)
Add any other context about the problem here.