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
- Xet hash:
- cbcbc2adcd03688a2cfff20c00c29bc7961fec65ecb2e63359b8088c6f115260
- Size of remote file:
- 86.7 MB
- SHA256:
- dcbbd5901914d6f4a1ee126d60129b7ef0df143ebabe326b4cc1e197eb8b3e60
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.