sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- backward_loss transpose() meaning in MultipleNegativesSymmetricRankingLoss
- The `util.cos_sim` always uses `Tensor` object and also returns the same when we are working with numpy
- Multitasking Loss
- [BUG]: CrossEncoder.predict() with num_workers > 0 returns constants
- how can i save fine_tuned cross-encoder to HF and then download it from HF
- How to get embedding vector when input is tokenized already
- Fine Tuning Loss Functions (Custom / Default / Alternatives)
- Gradually increasing CPU load on using sentence embeddings model with kmeans
- 'CrossEncoder' object is not callable
- speed-up recommendations of cross-encoder on a CPU
- Docs
- Python not yet supported