Instructions to use microsoft/rad-dino with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/rad-dino with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="microsoft/rad-dino")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("microsoft/rad-dino") model = AutoModel.from_pretrained("microsoft/rad-dino", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add weights for DINO head
Browse files- dino_head.safetensors +3 -0
dino_head.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5b3599663464ed1054f7777f547db02f518581acc5becdd3eddffc8c507f3778
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size 92554920
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