Instructions to use AlpineHealth/alpine-clinical-assertion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlpineHealth/alpine-clinical-assertion with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AlpineHealth/alpine-clinical-assertion")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AlpineHealth/alpine-clinical-assertion") model = AutoModelForSequenceClassification.from_pretrained("AlpineHealth/alpine-clinical-assertion") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52681cbc63662a31f54234640bf8f49c8ebe896cca0678c496532116258f1d7a
- Size of remote file:
- 433 MB
- SHA256:
- dbead1d1006135fa0cb05f7eadf278a9792d6749fc295382931319eb6021a1ca
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