sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- how to train sentence-transformers with soft label?
- RoBERTa ANCE FirstP forces lowercasing
- Re-fit multilingual embeddings with Ernie-M
- How to create avg. BERT embedding?
- Control number of negatives in MultipleNegativeRankingLoss?
- How is the embedding generated in model.encode?
- ValueError: text input must of type `str` (single example), `List[str]` (batch or single pretokenized example) or `List[List[str]]` (batch of pretokenized examples).
- Using tf-idf weights on tokens
- Can't download model from ZIP URL
- Added move_to_cpu flag in encode method to avoid OOM for token embeddings.
- Docs
- Python not yet supported