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
- Xet hash:
- 26537a31f4b3e6696589a5d1694173ab59aa03bc627b7963ab8233c9bcc44d8c
- Size of remote file:
- 86.5 MB
- SHA256:
- 8dd486b73a30adbc6d8dc6419876d01ce19bf897ac3db1e86afa65323a0ab7f4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.