sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- New pretrained models
- Example of using S-BERT for Extractive Summarization
- How to load sentence_transformer model with bitsandbytes
- Why auto-encoder based TSDAE can work, for similarity embedding?
- It feels a bit strange for a deep learning framework that there is no default way to view loss.
- Is it possible to use the library with "all-mpnet-base-v2" model commercially?
- Is it possible to use this library with `adapter-transformers`?
- How to get the abnormal image？
- Is it possible to use arbitrary Hugging Face Bert Models?
- how to enhance image embedding by manual added labels, for example city name?
- Docs
- Python not yet supported