Instructions to use facebook/dinov3-vit7b16-pretrain-lvd1689m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dinov3-vit7b16-pretrain-lvd1689m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/dinov3-vit7b16-pretrain-lvd1689m")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/dinov3-vit7b16-pretrain-lvd1689m") model = AutoModel.from_pretrained("facebook/dinov3-vit7b16-pretrain-lvd1689m") - Notebooks
- Google Colab
- Kaggle
Meta’s "Open-Source" DINO v3: Systematic Discrimination Against Chinese Users
#15
by xizeng - opened
Disappointed that my DINO v3 access request on Hugging Face was rejected with no clear reason—just like many other Chinese users I saw in the community. Meta calls it "open-source," but systematically denying access to Chinese researchers/developers is not open-source at all—it’s nationality-based discrimination. Open-source should be inclusive, not exclusive. Meta needs to be transparent about its review criteria and stop this unfair practice. Who else had the same experience? Let’s speak up together!
Agree, same as me