Image Segmentation
Transformers
Safetensors
inkdetection_resnet3d
feature-extraction
vesuvius-challenge
ink-detection
herculaneum
resnet3d
u-net
3d-segmentation
volumetric-imaging
custom_code
Instructions to use scrollprize/PHerc.1667-iteration-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scrollprize/PHerc.1667-iteration-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="scrollprize/PHerc.1667-iteration-3", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("scrollprize/PHerc.1667-iteration-3", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preview_label.png from scrollprize/PHerc.1667-iteration-3: direct link, hf CLI and curl.
- Browser
- Download file 54 kB
-
https://huggingface.co/scrollprize/PHerc.1667-iteration-3/resolve/main/preview_label.png
- Command line
-
hf download hf://scrollprize/PHerc.1667-iteration-3/preview_label.png
-
curl -L -o preview_label.png https://huggingface.co/scrollprize/PHerc.1667-iteration-3/resolve/main/preview_label.png
54 kB
