Instructions to use jonglet/mobile_vit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonglet/mobile_vit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="jonglet/mobile_vit") 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/mobile_vit") model = AutoModelForImageClassification.from_pretrained("jonglet/mobile_vit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 66eb757d041d5c90c763862b65cc7a5bd657d1fd381baa048809b506f162e71f
- Size of remote file:
- 20 MB
- SHA256:
- 1dbcbb616175247503b75654cd681191d69810cbc7392ffd489053526ba5833d
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