sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- CachedMultipleNegativesRankingLoss + MPS is broken
- Can't install due to dependencies conflict with existing tensorflow package
- Allow mine_hard_negatives to consume IterableDataset
- It seems SentenceTransformer is not able to properly import cutting-edge checkpoints
- "sentence-transformers/paraphrase-multilingual-mpnet-base-v2" with onnx backend
- offset mapping from tokenize method
- Any pretrained models available for commercial use?
- How to fine tune multimodal embedding model?
- How to calculate prompt tokens for embedding model encode?
- Can we finetune sbert with both add_adapter and add_module?
- Docs
- Python not yet supported