Instructions to use xdcx/eva02_large_E621_FULL_V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use xdcx/eva02_large_E621_FULL_V1 with timm:
import timm model = timm.create_model("hf_hub:xdcx/eva02_large_E621_FULL_V1", pretrained=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "test": [ | |
| { | |
| "type": "PadToSize", | |
| "size": [ | |
| 512, | |
| 512 | |
| ], | |
| "background_color": "white" | |
| }, | |
| { | |
| "type": "Resize", | |
| "size": [ | |
| 448, | |
| 448 | |
| ], | |
| "interpolation": "bicubic" | |
| }, | |
| { | |
| "type": "CenterCrop", | |
| "size": [ | |
| 448, | |
| 448 | |
| ] | |
| }, | |
| { | |
| "type": "ToTensor" | |
| }, | |
| { | |
| "type": "Normalize", | |
| "mean": [ | |
| 0.7058010139741189, | |
| 0.6675836722220271, | |
| 0.6626594977602157 | |
| ], | |
| "std": [ | |
| 0.3200751353807431, | |
| 0.3323665192448117, | |
| 0.3356149715782511 | |
| ] | |
| } | |
| ] | |
| } |