How to use toolevalxm/MedVision-XRay-TestRepo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="toolevalxm/MedVision-XRay-TestRepo") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("toolevalxm/MedVision-XRay-TestRepo") model = AutoModelForImageClassification.from_pretrained("toolevalxm/MedVision-XRay-TestRepo", device_map="auto")
https://huggingface.co/toolevalxm/MedVision-XRay-TestRepo/resolve/main/config.json
hf download hf://toolevalxm/MedVision-XRay-TestRepo/config.json
curl -L -o config.json https://huggingface.co/toolevalxm/MedVision-XRay-TestRepo/resolve/main/config.json
