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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language: en
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license: apache-2.0
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tags:
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- token-classification
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- NER
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- Biomedical
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BioBERT model
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This was fine-tuned in order to use it in a BioNER/BioNEN system which is available at: https://github.com/librairy/bio-ner
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language: en
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datasets: nmitchko/i2b2-query-data-1.0
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license: apache-2.0
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tags:
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- token-classification
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- NER
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- Biomedical
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BioBERT model pre-trained on nmitchko/i2b2-query-data-1.0 corpus
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