sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- 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.
- OOM when using encode for token_embeddings
- loading multiple embeddings from disc
- How can I evaluate my model?
- How to integrate other deep metric losses like centroid loss, Arcface loss etc ?
- Support for AMD ROCm?
- Load & Resume from previous saved ckp
- Docs
- Python not yet supported