Instructions to use judithrosell/JNLPBA_PubMedBERT_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use judithrosell/JNLPBA_PubMedBERT_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="judithrosell/JNLPBA_PubMedBERT_NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("judithrosell/JNLPBA_PubMedBERT_NER") model = AutoModelForTokenClassification.from_pretrained("judithrosell/JNLPBA_PubMedBERT_NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fc408ed1f5ebf69e215bab9aeb7a9ba5fceea87be5abb3fa2d27c8ff0cf02e5
- Size of remote file:
- 4.6 kB
- SHA256:
- 3cb3fe8ebd8b2f362cbc965e2a47f7021ecf00520c81eaf91a447823b0577c51
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