Instructions to use d4data/biomedical-ner-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use d4data/biomedical-ner-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="d4data/biomedical-ner-all")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("d4data/biomedical-ner-all") model = AutoModelForTokenClassification.from_pretrained("d4data/biomedical-ner-all") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f97c6f94355e7c4cc5ca5178e73fc688cde1fd2d1cfd13cbae523e457b203349
- Size of remote file:
- 266 MB
- SHA256:
- b027673a3307002bc2c34795e627691e1a0b906ee3480036fb9a5b06d269f547
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