Instructions to use Suramya/Medical_NER_Testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Suramya/Medical_NER_Testing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Suramya/Medical_NER_Testing")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Suramya/Medical_NER_Testing") model = AutoModelForTokenClassification.from_pretrained("Suramya/Medical_NER_Testing") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e8aa67bc4445d489c64c3e693b8cf45e9dda32725dd75d030e181c68d56a1c4
- Size of remote file:
- 5.11 kB
- SHA256:
- 5305fdb331058ae35a546f2c09cfffa782cbd81b410400c259add9f8d719f36c
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