Safetensors
PyTorch
timm
vessel-reid
computer-vision
image-embeddings
image-retrieval
model_hub_mixin
pytorch_model_hub_mixin
vessel
dinov3
identification
Instructions to use sangioai/vessel-reid-vit-base-dinov3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use sangioai/vessel-reid-vit-base-dinov3 with timm:
import timm model = timm.create_model("hf-hub:sangioai/vessel-reid-vit-base-dinov3", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download config.json from sangioai/vessel-reid-vit-base-dinov3: direct link, hf CLI and curl.
- Browser
- Download file 96 Bytes
-
https://huggingface.co/sangioai/vessel-reid-vit-base-dinov3/resolve/main/config.json
- Command line
-
hf download hf://sangioai/vessel-reid-vit-base-dinov3/config.json
-
curl -L -o config.json https://huggingface.co/sangioai/vessel-reid-vit-base-dinov3/resolve/main/config.json
96 Bytes
| { | |
| "model_name": "vit_base_patch16_dinov3.lvd1689m", | |
| "pretrained": false, | |
| "proj_dim": 256 | |
| } |