Instructions to use lysandre/tiny-vit-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lysandre/tiny-vit-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="lysandre/tiny-vit-random") 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("lysandre/tiny-vit-random") model = AutoModelForImageClassification.from_pretrained("lysandre/tiny-vit-random") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff91413fd981a820cd121389138b3b62ab86b950b7298e8098ec86c465d8a36a
- Size of remote file:
- 324 kB
- SHA256:
- 6defef5e9665497e716a435067016c2167733e84c2f790150abf4d135f7d368e
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