Instructions to use hf-tiny-model-private/tiny-random-ViTModel 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-ViTModel 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-ViTModel")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("hf-tiny-model-private/tiny-random-ViTModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-ViTModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3543835b838c3667eade3c221a7829e4a61d58b0c9b5ba8c5d5801c51ac600b5
- Size of remote file:
- 291 kB
- SHA256:
- e9dda8d7744fce338f566ca58965bf6e08ab691c5fe4a2ad9a12dfe6ceaa7cd3
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