Transformers How to use toolevalxm/RadiologyVisionNet-Clinical with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="toolevalxm/RadiologyVisionNet-Clinical")
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/RadiologyVisionNet-Clinical")
model = AutoModelForImageClassification.from_pretrained("toolevalxm/RadiologyVisionNet-Clinical", device_map="auto") 
