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:
# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download MIS.jpg from s-nlp/Mutual_Implication_Score: direct link, hf CLI and curl.
- Browser
- Download file 48.2 kB
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https://huggingface.co/s-nlp/Mutual_Implication_Score/resolve/main/MIS.jpg
- Command line
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hf download hf://s-nlp/Mutual_Implication_Score/MIS.jpg
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curl -L -o MIS.jpg https://huggingface.co/s-nlp/Mutual_Implication_Score/resolve/main/MIS.jpg
48.2 kB
