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:
- 00031ce17b213fa74e35c2fb5b7f8c8ee43e3c2caf052e7f9f3458fe478a7ca9
- Size of remote file:
- 146 kB
- SHA256:
- 9ce3634485eed4cf2cb3a0b9c1a4227cdb178909b2c85ca0ad10902292b0147c
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