Instructions to use toolevalxm/MedVisionAI-DiagnosticModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toolevalxm/MedVisionAI-DiagnosticModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="toolevalxm/MedVisionAI-DiagnosticModel") 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/MedVisionAI-DiagnosticModel") model = AutoModelForImageClassification.from_pretrained("toolevalxm/MedVisionAI-DiagnosticModel") - Notebooks
- Google Colab
- Kaggle
File size: 127 Bytes
756809c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b31c6c55e439ffffe157c3332210304a2c7f23a001469615f135ac64b5813f3c
size 35
|