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:
- 50f7d07b98e60a6836c06000fc55c2467782640bacae136a9f5313d9fe729014
- Size of remote file:
- 20.2 MB
- SHA256:
- 071153a17e18564a429ca67f287fb7727f756518eb4ca51be4c8c77406223f00
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