Instructions to use nlpie/clinical-distilbert-i2b2-2010 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpie/clinical-distilbert-i2b2-2010 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nlpie/clinical-distilbert-i2b2-2010")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nlpie/clinical-distilbert-i2b2-2010") model = AutoModelForTokenClassification.from_pretrained("nlpie/clinical-distilbert-i2b2-2010") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e87eb839bd975427afa7d7197aa915b7cae653a7f5cbdea9a1a1ba5327feb5cc
- Size of remote file:
- 3.5 kB
- SHA256:
- 145be841037ec5f2d5313b58d1c40166d68fc7cf901a253a8827bcbb768cfae8
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