Image Feature Extraction
timm
Safetensors
histopathology
pathology
dino
vision-transformer
prostate
feature-extraction
Instructions to use waticlems/Prost40M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use waticlems/Prost40M with timm:
import timm model = timm.create_model("hf_hub:waticlems/Prost40M", pretrained=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_resize": false, | |
| "do_center_crop": true, | |
| "crop_size": { | |
| "height": 224, | |
| "width": 224 | |
| }, | |
| "do_rescale": false, | |
| "do_normalize": true, | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "do_convert_rgb": true | |
| } |