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