sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- Sentence Transformers / datasets dependency.
- Dask vs multiprocessing
- Inference speed difference when using sentence-transformers (python) and candle (rust)
- Cross Encoders do not free GPU memory after execution
- encode Function Returns NaN Embeddings for Some Tokens When Called on All Vocabulary
- [`fix`] Quantization of token embeddings
- VRAM Overhead on main GPU when using DDP
- Precision does not work when requesting token_embeddings
- Training on the own model
- Seeking Solutions for Encoding Long Texts with Sentence Transformer Without Truncation
- Docs
- Python not yet supported