sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- Confusing message when not having enough space on device
- Collator setting include_prompt_lengths prevents compilation
- different with transformers implement
- Make progress bar in `SentenceTransformer.encode()` configurable
- [feat] Add MultiVectorEncoder Support (a.k.a late-interaction models or ColBERT-style models)
- replace `ms-marco` datasets and migrate examples
- MTEB leaderboard metric generation for finetuned model
- Contrastive loss with non-binary labels
- LoRA Fine-tuning for Cross-Encoders
- Is bi-attention supported when using CausalLM models as embedding models?
- Docs
- Python not yet supported