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:
- c123dda4c3621a327b1f1cd63a58bdc1f1d2e0656baf8737888ca7eeb7951f25
- Size of remote file:
- 146 kB
- SHA256:
- 49f0860af7cd6c5d2e83b8e6e3189a2ebfa0f36a0707bf1a250aa437b7364ad9
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