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")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ncats/EpiExtract4GARD-v1") model = AutoModelForTokenClassification.from_pretrained("ncats/EpiExtract4GARD-v1") - Notebooks
- Google Colab
- Kaggle
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This BioBERT-base-cased model was fine-tuned for epidemiological information from rare disease abstracts. See [EpiExtract4GARD on GitHub](https://github.com/ncats/epi4GARD/tree/master/EpiExtract4GARD) for details.
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This BioBERT-base-cased model was fine-tuned for epidemiological information from rare disease abstracts. See [EpiExtract4GARD on GitHub](https://github.com/ncats/epi4GARD/tree/master/EpiExtract4GARD#epiextract4gard) for details.
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