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:
- bbaf1ff5f5f70261c1401b5eca50b06c7a07b8be9a18599e292dedda1acd2870
- Size of remote file:
- 1.39 kB
- SHA256:
- 638a202f5425657f6276882bc07d0c554feb8e6d8fb08e74cf0e9c107a5d817a
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