How to use agent593/Thyroid-Ultrasound-Image-Classification-ViTModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="agent593/Thyroid-Ultrasound-Image-Classification-ViTModel") 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("agent593/Thyroid-Ultrasound-Image-Classification-ViTModel") model = AutoModelForImageClassification.from_pretrained("agent593/Thyroid-Ultrasound-Image-Classification-ViTModel", device_map="auto")
https://huggingface.co/agent593/Thyroid-Ultrasound-Image-Classification-ViTModel/resolve/main/sample_data/california_housing_train.csv
hf download hf://agent593/Thyroid-Ultrasound-Image-Classification-ViTModel/sample_data/california_housing_train.csv
curl -L -o california_housing_train.csv https://huggingface.co/agent593/Thyroid-Ultrasound-Image-Classification-ViTModel/resolve/main/sample_data/california_housing_train.csv
