Instructions to use Lya/biobert-ehr-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lya/biobert-ehr-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Lya/biobert-ehr-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Lya/biobert-ehr-ner") model = AutoModelForTokenClassification.from_pretrained("Lya/biobert-ehr-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f05f28ee7308197a00b60df0bc98e000176128e3c05bb8a9675d5e32cd81795c
- Size of remote file:
- 1.46 GB
- SHA256:
- 4140f4fc28e8cefe02d7243786a8579ef68dce902faca4c29947da134bd35ac5
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