Instructions to use agent593/Thyroid-Ultrasound-Image-Classification-ViTModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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")# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd55f67f071f6a3a947e370430b6abe0e95e3888494b0c6aff730148fd675e15
- Size of remote file:
- 5.11 kB
- SHA256:
- 548359eee393a2f19143e965c9255d1d77f1f1369e0ae91ffd8ae089e5eadf88
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