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sci-ml/transformers

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

Screenshots

  • transformers-5.12.1-r666
    ~amd64
    torch test python_single_target_python3_12 python_single_target_python3_13 python_single_target_python3_14

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  • transformers-5.12.1
    ~amd64
    test torch test python_single_target_python3_12 python_single_target_python3_13 python_single_target_python3_14

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  • transformers-5.3.0
    ~amd64
    test torch test python_single_target_python3_12 python_single_target_python3_13 python_single_target_python3_14

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  • transformers-4.57.6
    ~amd64
    torch python_single_target_python3_12 python_single_target_python3_13

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ChangeLog

commit 80015d1bf6abf74eb269661b33f277154aa7ea0f
Author: Ivan S. Titov <iohann.s.titov@gmail.com>
Date: Tue Jun 30 14:33:33 2026 +0200

sci-ml/transformers: new package

Fork of ::gentoo's sci-ml/transformers bumped to 5.12.1 (::gentoo has
5.3.0). Final library link of the chain to unblock vllm 0.24.0, which
requires transformers >=5.5.3.

RDEPEND delta vs 5.3.0: floor sci-ml/huggingface_hub to >=1.5.0 (5.12.1
requirement, satisfied by our huggingface_hub-1.21.0 fork). tokenizers
=0.22* still resolves to 0.22.2, inside upstream's >=0.22.0,<=0.23.0;
regex/safetensors/numpy floors are satisfied by ::gentoo. Overlay
transformers consumers all cap <6, so the 5.3->5.12 bump doesn't break
them.