sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- [`feat`] Add native model merging
- Let a module declare an extra output type (e.g. multi-vector + sparse from one model)
- Docs: deployment guidance for cold starts and offline model loading (scale-to-zero, local_files_only, warmup)
- CrossEncoder PEFT fine-tuning: confusing TypeError (BatchEncoding not Tensor) with manual get_peft_model; no official add_adapter example
- Multiple videos and metadata process in one time
- Docs: add production deployment guide for async servers (FastAPI/uvic…
- Problem using CrossEncoder.rank with jina-reranker-v3
- Proposal: Add hardness weighting to GISTEmbedLoss, with CachedGISTEmbedLoss parity, following #3667
- 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`
- Docs
- Python not yet supported