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:
- d49cd03e0389060d1161ae37dd6f75edfa0dac081b3a334d94b33dec17f07107
- Size of remote file:
- 346 MB
- SHA256:
- 19e34b5ded1143464704df7455a4de8ba934605545584e8e08420513695dc58f
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