sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- tokenizer variable is uninitialized when model loaded from clip-ViT-L-14
- How to add two different Dense layers on SBERT
- Pooling method for TSADE
- CPU and GPU device returns different result
- model.encode() Character problem for Finnish language
- Is it possible to use layer-wise relevance propagation for the explainability of SBERT embeddings?
- Add CLI and refactoring example.
- support max_seq_length argument in SentenceTransformer
- Error loading self-made model with `SentenceTransformer`
- CLIP model input in sentence-transformer
- Docs
- Python not yet supported