sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- [`losses`] Consolidate GradCache into one shared engine, fix silently wrong gradients, add `mini_batch_num_tokens`
- [`feat`] Add `mini_batch_num_tokens`: token-budget mini-batching for cached losses
- Docs: add production deployment guide for async servers (FastAPI/uvic…
- Fix MegaBatchMarginLoss forward_mini_batched: KeyError crash and dropped gradients
- Problem using CrossEncoder.rank with jina-reranker-v3
- Proposal: Add hardness weighting to GISTEmbedLoss, with CachedGISTEmbedLoss parity, following #3667
- docs: add missing docstrings to Dense methods and to_scipy_coo
- Docs: add production deployment guide for async servers (FastAPI/uvicorn + OpenMP deadlock)
- Passing a list of images as video can work in `transformers` but not in `sentence transformer`
- Explicit device assignment ignored in multi-GPU (PyTriton) environment
- Docs
- Python not yet supported