transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- [serge] Fix 2 integration tests for model `seamless_m4t_v2` failing with `output_mismatch` (list output differs (2))
- [CB] Scale the per-token memory estimate by the TP size
- feat(hf_argparser): support dict-typed dataclass fields from CLI (#48030)
- Feature request: add NEAT as an optional Trainer optimizer integration
- tests: skip the symlinked hub-cache test when symlinks are unavailable
- [RFC] Zero-Copy In-Place MoE Dynamic Token Routing for Mixtral/DeepSeek (1.77x Speedup, 0 Bytes Aux VRAM)
- Fix GPT-NeoX family tokenization when config flags and serialized post-processor disagree
- Decide whether the checkpoint shard prefetch should be on by default
- test_get_cached_module_file_local_handles_symlinked_hub_cache fails on Windows without symlink privilege
- Fix HfArgumentParser mutating dataclass annotation types
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