Instructions to use facebook/dino-vitb16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dino-vitb16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/dino-vitb16")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/dino-vitb16") model = AutoModel.from_pretrained("facebook/dino-vitb16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update README.md
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Add TF weights (#2)
- Add TF weights (1aacbd114b1f91123e325c670b50996520c10225)400c0ca
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Fix image mean and std
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Add dino tag
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Add model card
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First commit
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initial commit
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