sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- Fix sparse embedding normalization for non-default dtypes
- Cached losses (GradCache) trigger one DDP all-reduce per mini-batch per column instead of one per step
- Compute CoSENT ranking loss with linear-memory suffix reductions
- Count tied top matches as correct in TranslationEvaluator
- Return zero ranking loss when no label pairs are ordered
- Keep Euclidean similarity gradients finite at zero distance
- Accept a string main_score_function in NanoBEIREvaluator
- fix: encode mixed-modality batches by splitting per modality
- model.safetensors is missing read permissions after saving with SentenceTransformer.save()
- Normalize hierarchical token pooling outputs by default
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