Instructions to use facebook/dinov3-vitl16-pretrain-lvd1689m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/dinov3-vitl16-pretrain-lvd1689m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="facebook/dinov3-vitl16-pretrain-lvd1689m")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("facebook/dinov3-vitl16-pretrain-lvd1689m") model = AutoModel.from_pretrained("facebook/dinov3-vitl16-pretrain-lvd1689m") - Notebooks
- Google Colab
- Kaggle
for anyone who got rejected for no reason like me. here is a mirror.
#6
by Alexali - opened
i love you. Thank you.
此问题使用这个模型可以解决嘛?
thank you kind person
Error(s) in loading state_dict for DINOv3ViTEmbeddings:
size mismatch for cls_token: copying a param with shape torch.Size([1, 1, 1024]) from checkpoint, the shape in current model is torch.Size([1, 1, 384]).