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
File size: 134 Bytes
f567a07 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a064e36c67289caaa5c949c0b3f7f31a0fcbcba5721f5fa12419933ec1f4fe6e
size 343268597
|