Instructions to use ncats/EpiExtract4GARD-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ncats/EpiExtract4GARD-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ncats/EpiExtract4GARD-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ncats/EpiExtract4GARD-v1") model = AutoModelForTokenClassification.from_pretrained("ncats/EpiExtract4GARD-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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| | Token-Level | Overall | 0.811 | 0.713 | 0.759 |
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| | | Location | 0.949 | 0.742 | 0.833 |
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| | | Epidemiologic Type | 0.9 | 0.917 | 0.908 |
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| | | Epidemiologic Rate | 0.724 | 0.636 | 0.677 |
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| 91 |
| | Token-Level | Overall | 0.811 | 0.713 | 0.759 |
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| | | Location | 0.949 | 0.742 | 0.833 |
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| | | Epidemiologic Type | 0.9 | 0.917 | 0.908 |
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| | | Epidemiologic Rate | 0.724 | 0.636 | 0.677 |
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Thanks to [@William Kariampuzha](https://github.com/wzkariampuzha) for contributing this model.
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