1 dataset found

  1. hf-libraries

    • kaggle.com
    Updated Dec 10, 2024
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    Nicholas Broad (2024). hf-libraries [Dataset]. https://www.kaggle.com/datasets/nbroad/hf-libraries/versions/228
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 10, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Nicholas Broad
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    All of the most recent releases from Hugging Face. Updated daily!

    • transformers
    • accelerate
    • peft
    • datasets
    • bitsandbytes
    • sentence-transformers
    • tokenizers
    • trl

    This also includes the most updated source versions from github. These have the "dev" tag in the filename.

    Install them offline in your notebook by using the following command (changing the path to whichever dataset you want):

    !pip install --no-deps --no-index /kaggle/input/hf-libraries/bitsandbytes/bitsandbytes-0.43.0-py3-none-manylinux_2_24_x86_64.whl

    To use datasets, you will also need to install the hotfix.

    !pip install --no-deps --no-index /kaggle/input/hf-libraries/datasets/pyarrow_hotfix-0.6-py3-none-any.whl

    Note

    Every so often, I will delete the oldest versions of bitsandbytes because those filesizes are relatively large (100MB each)

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Nicholas Broad (2024). hf-libraries [Dataset]. https://www.kaggle.com/datasets/nbroad/hf-libraries/versions/228
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hf-libraries

Your favorite libraries, available offline on kaggle

Explore at:
44 scholarly articles cite this dataset (View in Google Scholar)
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Dec 10, 2024
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Nicholas Broad
License

Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically

Description

All of the most recent releases from Hugging Face. Updated daily!

  • transformers
  • accelerate
  • peft
  • datasets
  • bitsandbytes
  • sentence-transformers
  • tokenizers
  • trl

This also includes the most updated source versions from github. These have the "dev" tag in the filename.

Install them offline in your notebook by using the following command (changing the path to whichever dataset you want):

!pip install --no-deps --no-index /kaggle/input/hf-libraries/bitsandbytes/bitsandbytes-0.43.0-py3-none-manylinux_2_24_x86_64.whl

To use datasets, you will also need to install the hotfix.

!pip install --no-deps --no-index /kaggle/input/hf-libraries/datasets/pyarrow_hotfix-0.6-py3-none-any.whl

Note

Every so often, I will delete the oldest versions of bitsandbytes because those filesizes are relatively large (100MB each)

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