Instructions to use facebook/deit-tiny-distilled-patch16-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/deit-tiny-distilled-patch16-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="facebook/deit-tiny-distilled-patch16-224") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("facebook/deit-tiny-distilled-patch16-224") model = AutoModelForImageClassification.from_pretrained("facebook/deit-tiny-distilled-patch16-224", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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set correct image size
The wrong image size leads to issues when you use "feature_extractor.size" property to configure your data augmentation.5fd3806
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Add vision tag
f13eb7a
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Remove timm tag
b9f47ab
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Fix typo
90765b1 -
Add model card
95f0ddb
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Update size
7caa852 -
First commit
7359352 -
initial commit
d98c4fa