Instructions to use facebook/dino-vits8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dino-vits8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/dino-vits8")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/dino-vits8") model = AutoModel.from_pretrained("facebook/dino-vits8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d3cc643ae831030e5959c749a27ba205e412bfe545bdbbbb918070946fbeda4
- Size of remote file:
- 86.8 MB
- SHA256:
- 28221cea4dbbe50f34a0702b96802d96003b31c4cb33a0e950bc4576ad4b3423
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