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:
- cbcbc919f2d4fbb7984db2800c80706beca6f662bc20852f192cc17f52743c6c
- Size of remote file:
- 146 kB
- SHA256:
- a7e3d940f9b127ebc55d6170dae46a352f0c91905000a4c95b5d667a6493b420
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