sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- SentenceTransformerTrainer consuming unexpectedly large amount of memory
- Inner Product Metric Produces Negative Distances for Similar Embeddings with Quantized Int8 Data
- Fix #3185: Support `convert_to_numpy` for `output_value="token_embeddings"`
- `convert_to_numpy=True` not working with `output_value="token_embeddings"`; returns `torch.Tensor` type
- modernBERT doesn't support Denoising Auto Encoder loss
- Question to MultipleNegativesRankingLoss and cosine similarity
- Deepspeed + CachedMNRL: Gradient computed twice for this partition. Multiple gradient reduction is currently not supported
- Scalar Quantization: out of range values are not handled correctly
- load_best_model fails with multi gpu and lora training
- finetuning modernbert
- Docs
- Python not yet supported