Instructions to use Matthijs/mobilevit-x-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matthijs/mobilevit-x-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Matthijs/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("Matthijs/mobilevit-x-small") model = AutoModelForImageClassification.from_pretrained("Matthijs/mobilevit-x-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4ee5ec9af4326156c5064d349747b85be0e397cf1689a5b1fca4d0c30e276f4
- Size of remote file:
- 9.42 MB
- SHA256:
- 8e083b875b8ebb2be91e29163e3893a4d00f411e335650e959ac594ca64c4b09
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