Instructions to use hf-tiny-model-private/tiny-random-MobileViTModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-MobileViTModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="hf-tiny-model-private/tiny-random-MobileViTModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-MobileViTModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-MobileViTModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3bf94787b9011e9b6aed37cd78a367573a453d74e26104f31d7a1100998dc0f
- Size of remote file:
- 20.2 MB
- SHA256:
- f550f246a3c5636ec4312202821b691a144e0691ee901e693f14aca3dfac6fa2
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