Image Feature Extraction
Transformers
Safetensors
vit
dino
self-supervised
vision-transformer
food101
Instructions to use mnjm/DINOv1-ViT-S-16-food101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mnjm/DINOv1-ViT-S-16-food101 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="mnjm/DINOv1-ViT-S-16-food101")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("mnjm/DINOv1-ViT-S-16-food101") model = AutoModel.from_pretrained("mnjm/DINOv1-ViT-S-16-food101", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8cd789463ec7170e2d7e9a5ba304083b6e8aae8069d21c7974709dcc240dfee
- Size of remote file:
- 86.7 MB
- SHA256:
- 9dcba56ede86cd3d9861ad8476163bfc66e9a0ea02dd9200cc1de464f9eda2b2
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