sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- While using pretrained model 'distilbert-base-nli-stsb-mean-tokens' for getting embeddings, which tokenizer is getting used?
- Saving Optimizer and Scheduler state at checkpoints
- Any idea about labeling Duplicate Questions dataset task ?
- Cross Encoder model size reduce after training on STSb
- In training script of cross encoder do we train it from scratch or just finetuning?
- ask for help: ImportError: Module "sentence_transformers.models" does not define a "BERT" attribute/class
- How to fine-tune bi-encoder
- When training crossencoder, encounter the problem that the model is easy to fall into the local optimum
- Make_multilingual msmarco
- Exception: data did not match any variant of untagged enum PyPreTokenizerTypeWrapper at line 1 column 317718
- Docs
- Python not yet supported