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 unbacked symint in learned positional embeddings with static cache
- Run the TP/EP mixin tests on every model and fix the failures
- Use hf-internal-testing for the tiny Dbrx and Bloom models and the example images
- [Feature] Add DSpark
- `Trainer.evaluate` eval_loss under DDP includes the samples the sampler repeats to even out the last batch
- Fix BigBird block-sparse decoding with a KV cache
- Standardize supported_aspect_ratios in tile-based image processors
- [Refactor] Get rid of single entry attention mask dictionary
- Fix get_image_size PIL dimension order and GOT-OCR2 bbox normalization
- Simplify the quantizer API changes
- Docs
- Python not yet supported