fairseq
https://github.com/facebookresearch/fairseq
Python
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
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- Issues
- Error When fine-tuning from others model.bin : File "~/fairseq/fairseq/checkpoint_utils.py", line 581, in _upgrade_state_dict {"criterion_name": "CrossEntropyCriterion", "best_loss": state["best_loss"]} KeyError: 'best_loss'
- Data2Vec: missing lm_head in text model
- Upload a model only once & translate in any lang pair as much as possible
- Data2Vec: error when loading own pretrained model
- Problem with torch version detection
- Error in loading state_dict M2M100 during finetuning
- No module named 'npy_append_array'
- Why FSDP is much slower than normal data Parallel?
- Make some phrases/keywords in the sentence non-translatable
- How to reproduce the speech data2vec result?
- Docs
- Python not yet supported