sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- use_amp or apex not effective
- `local_files_only=False` makes `SentenceTransformer.__init__` 6-7x slower
- MatryoshkaLoss as 'module' object is not callable
- Batching Encoding gives drastically different results even with atol=1
- ValueError: You are attempting to perform batched generation with padding_side='right' this may lead to unexpected behaviour for Flash Attention version of Model. Make sure to call `tokenizer.padding_side = 'left'` before tokenizing the input.
- Unexpected results using `quantize_embeddings`
- Multi task Training global step mistake
- Fastapi gunicorn multiple worker deployment
- Adding deepspeed config
- [`chore`] Add PR and issue templates
- Docs
- Python not yet supported