Image Feature Extraction
timm
Safetensors
computational-pathology
knowledge-distillation
vision-transformer
medical-imaging
Instructions to use RamonK/DistillPath-IS16-HOpt0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use RamonK/DistillPath-IS16-HOpt0 with timm:
import timm model = timm.create_model("hf-hub:RamonK/DistillPath-IS16-HOpt0", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download config.json from RamonK/DistillPath-IS16-HOpt0: direct link, hf CLI and curl.
- Browser
- Download file 265 Bytes
-
https://huggingface.co/RamonK/DistillPath-IS16-HOpt0/resolve/main/config.json
- Command line
-
hf download hf://RamonK/DistillPath-IS16-HOpt0/config.json
-
curl -L -o config.json https://huggingface.co/RamonK/DistillPath-IS16-HOpt0/resolve/main/config.json
265 Bytes
| { | |
| "architecture": "vit_small_patch16_224", | |
| "num_classes": 0, | |
| "num_features": 384, | |
| "pretrained_cfg": { | |
| "num_classes": 0, | |
| "input_size": [3, 224, 224], | |
| "mean": [0.485, 0.456, 0.406], | |
| "std": [0.229, 0.224, 0.225], | |
| "custom_load": false | |
| } | |
| } | |