transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Fix static cache per layer head shapes
- `compute_transition_scores()` applies beam selection twice for Whisper → out-of-bounds gather
- Prefetch only the byte spans each rank will read
- [WIP] [MiniCPMV4_6] Fix vit_merger crash when video frames are sliced (non-uniform target_sizes)
- Trainer: make checkpoints work under tensor parallelism
- Add image-text contrastive loss to Blip2ForImageTextRetrieval
- `Trainer` deletes `config.bos_token_id` when the tokenizer declares no BOS, and persists it
- fix(integrations): print the base model architecture for PEFT-wrapped models
- [serge] Fix 2 integration tests for model `seamless_m4t_v2` failing with `output_mismatch` (list output differs (2))
- fix(luke): set post-processor to add <s></s> special tokens in plain-text encoding
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