huggingface/transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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Hackable and optimized Transformers building blocks, supporting a composable construction.
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Latest capture 2026-07-15 03:11
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Scanned 2026-07-15 03:11
pyproject.toml
python ecosystem,
2 dependencies
requirements-benchmark.txt
python ecosystem,
5 dependencies
requirements-test.txt
python ecosystem,
16 dependencies
requirements.txt
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setup.cfg
python ecosystem,
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setup.py
python ecosystem,
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docs/requirements.txt
python ecosystem,
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.github/selective_ci/requirements.txt
python ecosystem,
1 dependency
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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
A library for mechanistic interpretability of GPT-style language models
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
Scalable and memory-optimized training of diffusion models
State-of-the-Art Embeddings, Retrieval, and Reranking