transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Use deep copies instead of shallow copies for bbox_embed in GroundingDINO decoder (#37333).
- Add submodels support check function
- Fix deprecated max_size parameter handling in DETR image processors
- Fix audio-related config naming for Gemma3n
- Standardize FSMT class naming: PretrainedFSMTModel → PreTrainedFSMTModel
- Add Ukrainian translation of README.md
- FP8 training support for Model Parallel / Tensor Parallel (MP/TP)
- Fix logger warnings in Gemma model test files
- Skipping `initialize_weights` when model is quantized
- Adding Space-Time-MiniLM-v0
- Docs
- Python not yet supported