Instructions to use apple/mobilevit-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apple/mobilevit-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="apple/mobilevit-small") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("apple/mobilevit-small", dtype="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a74e2a2f6ed39ed7c7979b569511a964069c9ecd27cad3b98011a935363885e
- Size of remote file:
- 22.8 MB
- SHA256:
- 877957ccd128bf7a15912ce185673262923af6affd9bfea6e7c0713985c83f67
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