Instructions to use hf-internal-testing/tiny-random-Dinov2Backbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-Dinov2Backbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, Dinov2Backbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-Dinov2Backbone") model = Dinov2Backbone.from_pretrained("hf-internal-testing/tiny-random-Dinov2Backbone", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c1da8ac59ee4d9bfd5c862b11c57d47021a3c6e87763247861de779b76a940e9
- Size of remote file:
- 146 kB
- SHA256:
- ebba523462697ec19493ad39886b4aa22bc26ed7b1714093d1e9b635827ede99
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