Instructions to use facebook/dinov2-giant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dinov2-giant with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/dinov2-giant")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/dinov2-giant") model = AutoModel.from_pretrained("facebook/dinov2-giant") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a55e1235d9e0c81681bc99831711b8493c1629d83db69ddc5d187fdf243fa30
- Size of remote file:
- 4.55 GB
- SHA256:
- 55755116234d40720deebc04dcf8b8c146e0e7dd5aace4a413eb203604c44762
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