Instructions to use facebook/dino-vits16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dino-vits16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/dino-vits16")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/dino-vits16") model = AutoModel.from_pretrained("facebook/dino-vits16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf1e9eaec0985824d2c5f69c9050d53f7a886661c519ec4ef19eb8ec07e81a69
- Size of remote file:
- 86.7 MB
- SHA256:
- a5bb4ddaf1b3abbdbba9962d7432bbdc633527c1c3e533e0bbc4d9d1b7e08d99
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