Instructions to use facebook/deit-small-patch16-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/deit-small-patch16-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/deit-small-patch16-224") 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("facebook/deit-small-patch16-224") model = AutoModelForImageClassification.from_pretrained("facebook/deit-small-patch16-224") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9de007d3f7e0d9b327b1c507e1698ab836802f7c89facc1dbf2f0fe831df1c8
- Size of remote file:
- 88.3 MB
- SHA256:
- 7eadf70de01e439569e1bbba8b5ef233b4bf70f25a98d9b33460095672bce38c
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