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Releases: databricks/lilac

v0.1.11

26 Oct 20:09
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Full Changelog: https://github.com/lilacai/lilac/compare/v0.1.10...v0.1.11

v0.1.10

24 Oct 17:18
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New Contributors

Full Changelog: https://github.com/lilacai/lilac/compare/v0.1.9...v0.1.10

v0.1.9

12 Oct 21:52
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Full Changelog: https://github.com/lilacai/lilac/compare/v0.1.8...v0.1.9

v0.1.8

12 Oct 21:49
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Full Changelog: https://github.com/lilacai/lilac/compare/v0.1.7...v0.1.8

v0.1.7

12 Oct 01:19
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Full Changelog: https://github.com/lilacai/lilac/compare/v0.1.6...v0.1.7

v0.1.6

11 Oct 15:49
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Features

Bug fixes / Other

Full Changelog: https://github.com/lilacai/lilac/compare/v0.1.15...v0.1.6

v0.1.15

04 Oct 22:34
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Features

Bug fixes / other changes

Full Changelog: https://github.com/lilacai/lilac/compare/v0.1.4...v0.1.15

v0.1.4

29 Sep 18:30
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Full Changelog: https://github.com/lilacai/lilac/compare/v0.1.3...v0.1.4

v0.1.3

29 Sep 14:00
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You can now deploy Lilac to a HuggingFace dataset with just a few lines of Python, or from the CLI:

Deploy a single configuration object, and have it load entirely on the space:

ll.deploy_config(
  hf_space='nsthorat-lilac/nikhil-demo',
  # Create the space if it doesn't exist.
  create_space=True,
  config=ll.Config(datasets=[
    ll.DatasetConfig(
      namespace='local',
      name='glue_ax',
      source=ll.HuggingFaceSource(dataset_name='glue', config_name='ax'))
  ]))

Deploy a Lilac project you've loaded locally:

ll.deploy_project(
  hf_space='nsthorat-lilac/nikhil-project-demo',
  project_dir='./data',
  datasets=['local/glue_ax'],  # This is optional. If not defined, uploads all datasets.
  # Create the space if it doesn't exist.
  create_space=True)

Or via the CLI:

lilac deploy-project --project_dir='~/my_project'

Features

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Demo

Full Changelog: https://github.com/lilacai/lilac/compare/v0.1.2...v0.1.3

v0.1.2

27 Sep 18:31
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Internal change

Full Changelog: https://github.com/lilacai/lilac/compare/v0.1.1...v0.1.2