Instructions to use facebook/dinov2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dinov2-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/dinov2-base")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/dinov2-base") model = AutoModel.from_pretrained("facebook/dinov2-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 477c379b0c129b8c5ea168bcdb50ddd65ca6776fc6cda7be5eb98e9e67222435
- Size of remote file:
- 346 MB
- SHA256:
- 014965d9e330e7f4bff8ddcbee9df5e4f2ca032b2f5180942a6edb454783e75d
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