Instructions to use toolevalxm/MedicalVision-Pro-TestRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toolevalxm/MedicalVision-Pro-TestRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="toolevalxm/MedicalVision-Pro-TestRepo") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("toolevalxm/MedicalVision-Pro-TestRepo") model = AutoModelForImageClassification.from_pretrained("toolevalxm/MedicalVision-Pro-TestRepo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b76a3f4e9398cc1990cd0ab9c837372aa11a9bb9488b140abf163cbdb5ab3457
- Size of remote file:
- 100 Bytes
- SHA256:
- 2c01541740543ac1004de85f5287bad86a636326fcb23069b55ee632b55bcc66
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