Instructions to use binwang/RSE-RoBERTa-base-10-relations with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use binwang/RSE-RoBERTa-base-10-relations with Transformers:
# Load model directly from transformers import AutoTokenizer, RoBERTaForRSE tokenizer = AutoTokenizer.from_pretrained("binwang/RSE-RoBERTa-base-10-relations") model = RoBERTaForRSE.from_pretrained("binwang/RSE-RoBERTa-base-10-relations") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
The RSE-RoBERTa-base-10-rel is trained with 10 relations including:
- entailment
- contradiction
- neutral
- duplicate_question
- non_duplicate_question
- paraphrase
- same_caption
- qa_entailment
- qa_not_entailment
- same_sent
The RoBERTa-base model is used as initialization.
It can be used to infer all ten different relations.
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