Instructions to use Shadow0482/mithu-mobilevit-dr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shadow0482/mithu-mobilevit-dr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Shadow0482/mithu-mobilevit-dr") 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("Shadow0482/mithu-mobilevit-dr") model = AutoModelForImageClassification.from_pretrained("Shadow0482/mithu-mobilevit-dr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 832ea9567d14f498aa815cc244e88628139f98d20f4db4adb12be79ad6072986
- Size of remote file:
- 5.84 kB
- SHA256:
- 684f7993cad9ee69fedd1c8ac84f26605ef06bd143357b7c1a287785fb61548d
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