sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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Help out
- Issues
- How can I cluster sentences above a certain similarity threshold?
- How to speed up inference generation for sentence vectors?
- Which model to use?
- How to Deploy an SBERT model?
- Easy way of truncating the beginning (instead of end)
- multilingual training
- How I train with a corpus format like this?
- Simple way of producing two independent embeddings
- Find n most similar contextual word embeddings to one or multiple sentence embeddings?
- Is the sentence embedding normalized?
- Docs
- Python not yet supported