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