transformers
https://github.com/huggingface/transformers
Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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- Issues
- Import `SPIECE_UNDERLINE` from `file_utils` instead of WET definition
- Key Error: 'pre-processing' during conversion from tatoeba to Marian model
- Felix
- [resume optimization] skip loading pretrained weights on resume
- 🌟 CTRLsum
- Megatron fused CUDA kernels to improve Hugging Face model classes' scalability
- denoising with sentence permutation, and language sampling
- Model config is logged twice on startup
- Summarization length not controlled by max_length, min_length
- use `BaseModelOutput` as common interface for all different `BaseModelOutputWith*`?
- Docs
- Python not yet supported