Instructions to use toolevalxm/MedicalBioModel-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toolevalxm/MedicalBioModel-TestRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="toolevalxm/MedicalBioModel-TestRepo")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("toolevalxm/MedicalBioModel-TestRepo", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3eefdc8fb812790816eeb26a8d2bd9b4d37694ec7b955121400d919ee0e80b3f
- Size of remote file:
- 228 Bytes
- SHA256:
- 0e708defb1fb584bdc6a99c8581469f57acfe5a406c14d117354598e849523c9
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