sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- When the model is on the CPU, the device of the tensor returned by `encode` is cuda
- [feature request] Pre-training, GPL, Model merging, LLM2Vec
- pytz: No module named 'zoneinfo'
- MatryoshkaLoss and AdaptiveLayerLoss (related to ESE paper) - outdated paper reference or implications of superior dimensionality reduction strategy?
- Question: Does MultipleNegativesRankingLoss accepts both pairs and triplets in the dataset?
- [integration] [feature request] Add LLM2Vec to sentence-transformers
- cannot import name '_sentencepiece' from partially initialized module 'sentencepiece' (most likely due to a circular import)
- No sentence-transformers model found with name sentence-transformers/all-MiniLM-L6-v2.
- Using `LayerNorm` before PCA while performing embedding dimensionality reduction.
- Refactoring `BinaryClassificationEvaluator.py`
- Docs
- Python not yet supported