Instructions to use judithrosell/BioNLP13CG_PubMedBERT_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use judithrosell/BioNLP13CG_PubMedBERT_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="judithrosell/BioNLP13CG_PubMedBERT_NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("judithrosell/BioNLP13CG_PubMedBERT_NER") model = AutoModelForTokenClassification.from_pretrained("judithrosell/BioNLP13CG_PubMedBERT_NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91c12e4528a589e862998eedd86a2cd76187e7b23e06a421a1456812c1c519f2
- Size of remote file:
- 4.6 kB
- SHA256:
- b24fdab668402c0ff05d155f998025dfea3f75800cd7d0a33c9820e8e4ea0b43
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