transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Implement `generate` (inference) for torch exported text-generation models
- CLIP is ExecuTorch compatible
- Bart/Wav2Vec2 is ExecuTorch compatible
- TrOCR is ExecuTorch compatible
- 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
- Docs
- Python not yet supported