Instructions to use ismgar01/vit-base-patch16-imagenette with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ismgar01/vit-base-patch16-imagenette with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ismgar01/vit-base-patch16-imagenette") 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("ismgar01/vit-base-patch16-imagenette") model = AutoModelForImageClassification.from_pretrained("ismgar01/vit-base-patch16-imagenette") - Notebooks
- Google Colab
- Kaggle
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