Instructions to use tkcho/dino-vits16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tkcho/dino-vits16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="tkcho/dino-vits16")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("tkcho/dino-vits16") model = AutoModel.from_pretrained("tkcho/dino-vits16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7428acafa4a73d16951753640ec6c6c5163983be16b6bf8fe2e85f1951da5eb
- Size of remote file:
- 87.3 MB
- SHA256:
- c7eba51faa3986331d1d5996157450629ead571a18747b089b2aadc351b1c9fa
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