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:
- 7adee81b919da178cd1a4e878350b673b4deba7f353a4056b3929208f2cf80b5
- Size of remote file:
- 261 MB
- SHA256:
- 081f66e415a24009bcdebad613beebe627a1a7b07855549ea02494fe0ce23f74
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