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") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag
#5
by nielsr HF Staff - opened
This PR ensures that the model is findable at https://huggingface.co/models?pipeline_tag=image-feature-extraction.
fepegar changed pull request status to merged