Instructions to use s-nlp/Mutual_Implication_Score with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use s-nlp/Mutual_Implication_Score with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForSequenceClassification_all_in_one_local tokenizer = AutoTokenizer.from_pretrained("s-nlp/Mutual_Implication_Score") model = RobertaForSequenceClassification_all_in_one_local.from_pretrained("s-nlp/Mutual_Implication_Score") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2daa3b296cd6adfac33dfe9f9bd8287d40e30377973fee1c4a4e289cc75d9270
- Size of remote file:
- 1.42 GB
- SHA256:
- 780e94a77efb4ca6f38dff693e7caa62b23413f683931a760154dbc8911c158e
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