transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Refactor LongT5 to use @capture_outputs and @can_return_tuple decorators for unified output handling (Fixes #43979)
- Refactored vits to match standardized output collection interface
- [voxtral-realtime] get more perfs!
- Avoid device sync in training loss accumulation
- [ViLT] Refactor output handling to align with standardized patterns
- [XLM] Refactor output tracing to align with capture_outputs standardized architecture
- [WIP] [Flaubert] Refactor output tracing to decorator-based interface
- [Model Request] Add OpenAI Weight-Sparse Transformer (circuit-sparsity / circuitgpt)
- Refactor SpeechT5 output tracing to standardized output capture
- Migrate wav2vec2, wav2vec2_conformer, and wav2vec2_bert to standardized output collection decorators
- Docs
- Python not yet supported