Instructions to use facebook/dino-vitb16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dino-vitb16 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/dino-vitb16")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/dino-vitb16") model = AutoModel.from_pretrained("facebook/dino-vitb16") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea98cbbe0c0df2eeb649f99b3d6372046a83b35d8aeb0a94c0f2ede093256e9f
- Size of remote file:
- 343 MB
- SHA256:
- a064e36c67289caaa5c949c0b3f7f31a0fcbcba5721f5fa12419933ec1f4fe6e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.