Instructions to use jonglet/deit_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonglet/deit_tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jonglet/deit_tiny") 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("jonglet/deit_tiny") model = AutoModelForImageClassification.from_pretrained("jonglet/deit_tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8010a713f46347de18e2496c24620448e4660789ee444a0b3d83d067e781374
- Size of remote file:
- 3.9 kB
- SHA256:
- b2522ba6d9d263fa130ed7eecf5764aa422af6ea0b48ff30c666e3cf15c7c696
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