Instructions to use facebook/dinov2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dinov2-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/dinov2-base")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/dinov2-base") model = AutoModel.from_pretrained("facebook/dinov2-base") - Notebooks
- Google Colab
- Kaggle
FlaxDinov2-base
#12
by MHRDYN7 - opened
No description provided.
@nielsr , adding the flax Dinov2 weights for the pr -> https://github.com/huggingface/transformers/pull/31960.
Will be opening pull requests for the other sizes as well.
MHRDYN7 changed pull request status to open