transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Export-to-ExecuTorch via `optimum` integration
- chore: move `conftest.py` to `tests/`
- Phi3FlashAttention2 call to rotary embeddings bugfix
- [ I built it! ] Server application with on-the-fly quantization to serve up HF-Hub models for back-and-forth request-response inferencing
- Adding new zero-shot examples
- SAM can't process batches of nonhomogenous-count of bounding-boxes per image
- Fix zero shot detection pipeline
- Enhancing Hugging Face Models with Tensor Parallelism for Large-Scale Model Support 🚀
- [WiP] Add buf_init_callbacks for dist inference = auto generate rope embeddings after meta/fake tracing
- Additional options for include_num_input_tokens_seen in Trainer
- Docs
- Python not yet supported