sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- [feat] Add ContAccum support to GradCache MNRL
- Size Mismatch
- Feature Request: Surfacing Token Level Attention Scores inside the `forward` pass of `Transformer` class.
- Custom Cross Encoder model training
- `NotImplementedError:` Cannot copy out of meta tensor when loading model with PyTorch 2.2+ and SentenceTransformers 4.1.0
- Let Evaluators return or store the generated embeddings.
- MultipleNegativesRankingLoss issue
- ColBERT-style token-level retrieval vs sentence embeddings for modern RAG tasks (esp. multimodal like ColPali)
- NoDuplicatesBatchSampler __len__ method returns higher number of batches than the actual one
- Having trouble training sparse embedding models
- Docs
- Python not yet supported