Instructions to use aurelio-ai/sr-test-vit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aurelio-ai/sr-test-vit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="aurelio-ai/sr-test-vit") 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("aurelio-ai/sr-test-vit") model = AutoModelForImageClassification.from_pretrained("aurelio-ai/sr-test-vit") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Tiny ViT model used for semantic-router tests.
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