sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- Follow only duplicate pairs in the paraphrase mining transitive closure
- [fix] Use the auto-detected device in StaticEmbedding.from_distillation
- Fix scalar quantization arithmetic for float16 embeddings
- Exclude unretrieved positives from observed RRF ranking metrics
- Compute large-batch orthogonal regularization with the feature Gram matrix
- Preserve ranking-loss gradients with weighted log-sigmoid
- Compare CSR reconstructions with the raw input when normalize=True
- Drop two docstring entries for parameters that do not exist
- Pass args.seed to the per-dataset batch samplers
- [`fix`] Apply default_prompt_name in encode_query when there is no query prompt
- Docs
- Python not yet supported