transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Feature request: Support resume_from_checkpoint for checkpoints stored on Hugging Face Hub
- feat(models): Make MimiModel encoding padding-aware to ensure batch-to-individual consistency
- Add test to ensure executorch exportability with dynamic shapes
- argparser: Allow optional bool flags without values
- Perception Encoder follow up PR
- fix/backward compatibility for tie_weights
- fix: output router capture wrong router logits in qwen moe models
- Add Nvidia NitroGen to huggingface transformers
- Fix typo in Gemma3ForCausalLM doctest
- Implemented update function in cache_utils.py, with a test file test_cache_utils.py
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- Python not yet supported