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:
- 7270102a7b4847e269b03be128e478edc5d4e9405959a62f85189706ee2165f2
- Size of remote file:
- 19.8 MB
- SHA256:
- 50f126732dd245d19354ad2f9dad11c280580c5309d2e7528cee87b0fc820155
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