Instructions to use facebook/dino-vitb8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dino-vitb8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/dino-vitb8")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/dino-vitb8") model = AutoModel.from_pretrained("facebook/dino-vitb8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#3)
Verified signature- Adding `safetensors` variant of this model (6bd5b7757e4224b035fe579f31fb816985e18e35) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>f1ca762
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Update README.md
56d327d
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Fixed link typo (#1)
- Fixed link typo (073a435eb3ef6dd20d35c59e9ee248e8b0d6d3e7) Co-authored-by: Rohan Sikand <rosikand@users.noreply.huggingface.co>16a0cef -
Update README.md
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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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