sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- Modify GISTEmbedLoss and CachedGISTEmbedLoss to automatically remove duplicate positives from being considered negatives
- List Index out of Range: Line 565 sentenceBert
- fine tuning quantized models
- `KeyError: 'eval_loss'` when `load_best_model_at_end=True` with multiple eval datasets
- Cached Losses way of working
- Load model from check-points
- Using SentenceTransformerTrainer in case of Asym module usage.
- Errors when trying to replicate Natural Language Inference (NLI) task
- How is `max_length` taken into account compared to models setting
- Issue generating model cards with sentence-transformers[train] v3.0.1
- Docs
- Python not yet supported