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:
- 19c31ef46152eab24ecaa424c4bc9fd7e2903c0f6f6689305c9dd080721dc87b
- Size of remote file:
- 460 MB
- SHA256:
- 6d4f12da88959104246da8fd8e984d8357136f5782bbf90cf698489de1f77647
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