Instructions to use hf-internal-testing/tiny-random-MobileViTModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MobileViTModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-internal-testing/tiny-random-MobileViTModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-MobileViTModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MobileViTModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ca979a982e375700b8c9071ddf579a7e48b2d468b1c2661c7b88d5df92ae37a
- Size of remote file:
- 19.9 MB
- SHA256:
- 74f2557c61e9fb23e6bd840b96a602f95db7728afc359516ec69e1a16129169a
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