Instructions to use internetoftim/dinov2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use internetoftim/dinov2-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="internetoftim/dinov2-base")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("internetoftim/dinov2-base") model = AutoModel.from_pretrained("internetoftim/dinov2-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 68eb621a7e6443011aa716162a65ce74400540dbabb1d88bdcb923e648f69140
- Size of remote file:
- 346 MB
- SHA256:
- ace713ef9414fc67988663479df13158fd598445b225ce3c5e3489bf81608841
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