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 qwen2.5vl
- Tokenizer outputs same offsets for different tokens.
- Unused kwargs: ['bnb_8bit_quant_type', 'bnb_8bit_use_double_quant', 'bnb_8bit_compute_dtype'] when using bnb quantization? These kwargs are not used in <class 'transformers.utils.quantization_config.BitsAndBytesConfig'>
- Malformed config when saving & loading locally custom models
- Support QuestionAnswering Module for ModernBert based models.
- Any plans to integrate GTE model natively into transformers
- Add AIMv2 to Transformers
- 4.47.1 Hugging Face Trainer loss accumulated by sum instead of mean
- BLIPs clean-up
- Add support for nested images to LLava and VipLLava
- Docs
- Python not yet supported