Instructions to use sagteam/pharm-relation-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sagteam/pharm-relation-extraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sagteam/pharm-relation-extraction")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sagteam/pharm-relation-extraction") model = AutoModelForSequenceClassification.from_pretrained("sagteam/pharm-relation-extraction") - Notebooks
- Google Colab
- Kaggle
Upload label_map.json
Browse files- label_map.json +1 -0
label_map.json
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{"ADR_Drugname": 0, "none_ADR_Drugname": 1, "Drugname_Diseasename": 2, "Diseasename_Indication": 3, "Drugname_SourceInfodrug": 4, "none_Drugname_Diseasename": 5, "none_Diseasename_Indication": 6, "none_Drugname_SourceInfodrug": 7}
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