sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- ValueError: The model must be a Transformer-based SentenceTransformer or CrossEncoder model loaded with `backend="onnx"`.
- Using sentence-transformers with TPU: RuntimeError: Cannot set version_counter for inference tensor
- Support for jinaai/jina-reranker-m0
- feat: use regular tokenizer in static embedding, add max length
- Can't install due to dependencies conflict with existing tensorflow package
- Allow mine_hard_negatives to consume IterableDataset
- It seems SentenceTransformer is not able to properly import cutting-edge checkpoints
- "sentence-transformers/paraphrase-multilingual-mpnet-base-v2" with onnx backend
- offset mapping from tokenize method
- Any pretrained models available for commercial use?
- Docs
- Python not yet supported