Instructions to use facebook/dinov2-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dinov2-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/dinov2-large")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/dinov2-large") model = AutoModel.from_pretrained("facebook/dinov2-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload safetensors version (#3)
Browse files- Upload safetensors version (4dc741a35f1f859959ae2dcacfb99c0d331caa6b)
Co-authored-by: Pedro Cuenca <pcuenq@users.noreply.huggingface.co>
- model.safetensors +3 -0
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size 1217522888
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