transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- `trainer.evaluate` always creates a new MLFlow run, separate from the one used during `train()`
- When extending embeddings, multivariate distribution isn't correctly estimated even when the calculated sigma matrix is symmetric and positive definite
- Bug of eval loss when enabling average_tokens_across_devices
- ImportError: cannot import name 'HfApiEngine' from 'transformers'
- Get "NotImplementedError: Cannot copy out of meta tensor; no data!" error while deploying model
- Use AMD CI workflow defined in hf-workflows
- Fix tokenizer model handling for LLaMA, converting Base64 to SentencePiece (#35037)
- Enable Quantize KV Cache for Mistral Model
- VLlama3ForCausalLM in SmolVLM
- Enable Quantize KV Cache for Mistral Model
- Docs
- Python not yet supported