Instructions to use apple/mobilevit-x-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apple/mobilevit-x-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="apple/mobilevit-x-small") 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("apple/mobilevit-x-small") model = AutoModelForImageClassification.from_pretrained("apple/mobilevit-x-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57e4eba142b0305e33afc0f12571cd0fa5de29814863a37e9a1dbd8c8b534463
- Size of remote file:
- 9.42 MB
- SHA256:
- 09b264fe681cb67144c41fe10b923c8d59ad4273f9d4cc3053080e6e986e63e8
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