sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- [`deps`] Remove mandatory dependency of tokenizers
- [`warn`] Throw a warning if compute_metrics is set, as it's not used
- [`peft`] If AutoModel is wrapped with PEFT for prompt learning, then extend the attention mask
- ImportError: cannot import name 'cached_download' from 'huggingface_hub'
- `Transformer` Class in HF Models Does Not Properly Update `attention_mask` with Prompt Tuning, Leading to Mismatch in Downstream Layers
- [`enh`] Add Support for multiple adapters on Transformers-based models
- [fix] Added model2vec import compatible with current and newer version
- crossencoder training on multigpu
- StaticEmbedding forces tokenizers dependency
- Training for Contextual Document Embeddings (CDE) model?
- Docs
- Python not yet supported