sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- Fix WordEmbeddings crash with HF tokenizers on transformers v5
- Stop the multi-process pool when hard negative mining fails
- Include a model identity in the hard negatives embedding cache key
- [fix] Return per-input token embeddings from encode() with Flash Attention input flattening
- [Bug] GradCache replay downcasts FP64 embeddings to FP32 in the surrogate dot product
- [Bug] Keep FP64 in the GradCache replay surrogate
- [`feat`] Add min-max score normalization to DistillKLDivLoss family
- Fix normalize_embeddings crash on a single 1D embedding
- Fix mixed-precision distances in batch triplet losses
- Fix CachedGISTEmbedLoss retokenization for flattened inputs
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- Python not yet supported