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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## Intended uses & limitations
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#### How to use
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You can use this model with the Hosted inference API to the right with this [test sentence](https://pubmed.ncbi.nlm.nih.gov/24237863/): "
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See code below for use with Transformers *pipeline* for NER.:
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## Intended uses & limitations
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#### How to use
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You can use this model with the Hosted inference API to the right with this [test sentence](https://pubmed.ncbi.nlm.nih.gov/24237863/): "The birth prevalence of CLD in the northern Netherlands was 21.1/10,000 births."
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See code below for use with Transformers *pipeline* for NER.:
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~~~
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