transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Add heterogeneous model support (per-layer config and modeling)
- [t5gemma] resize_token_embeddings does not effect to decoder.embed_tokens
- Use `_keys_to_ignore_on_load_unexpected/missing` recursively from children
- [docs] modular transformers
- feat[vLLM × v5]: Add vLLM compatibility for audio models
- Remove references to torchao's AffineQuantizedTensor
- Drop unused Gemma4TextAttention weights when sharing KV Cache
- Add Qwen3.5 GGUF loading support
- Remove import * usage
- Feature request: Support evaluation every N epochs in TrainingArguments
- Docs
- Python not yet supported