Instructions to use binwang/RSE-BERT-base-10-relations with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binwang/RSE-BERT-base-10-relations with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, BertForRSE tokenizer = AutoTokenizer.from_pretrained("binwang/RSE-BERT-base-10-relations") model = BertForRSE.from_pretrained("binwang/RSE-BERT-base-10-relations", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Mark RSE checkpoint as historical research; preserve original configuration
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trained model checkpoint
RSE model BERT-base 10 relations: entailment contradiction neutral duplicate_question non_duplicate_question paraphrase same_caption qa_entailment qa_not_entailment same_sentaf369b0 -
initial commit
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