Instructions to use judithrosell/PubMedBERT_BioNLP13CG_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use judithrosell/PubMedBERT_BioNLP13CG_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="judithrosell/PubMedBERT_BioNLP13CG_NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("judithrosell/PubMedBERT_BioNLP13CG_NER") model = AutoModelForTokenClassification.from_pretrained("judithrosell/PubMedBERT_BioNLP13CG_NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa9b9cea08c2710fa1afa8ffb294e4c3f73efb7b770598288ae8a4aacca47e90
- Size of remote file:
- 4.6 kB
- SHA256:
- ed2988ebc47e6953943d266f1a66655f61b3ba1ff4c6904e2c206021e72c4739
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