Instructions to use henrymark/biobert-biomedical-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use henrymark/biobert-biomedical-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="henrymark/biobert-biomedical-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("henrymark/biobert-biomedical-ner") model = AutoModelForTokenClassification.from_pretrained("henrymark/biobert-biomedical-ner") - Notebooks
- Google Colab
- Kaggle
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- token-classification
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- NER
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- Biomedical
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- Diseases
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datasets:
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- BC5CDR-diseases
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- ncbi_disease
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BioBERT model fine-tuned in NER task with BC5CDR-diseases and NCBI-diseases corpus
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- token-classification
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- NER
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- Biomedical
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BioBERT model fine-tuned in NER task with BC5CDR-diseases and NCBI-diseases corpus
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