Instructions to use heig-vd-geo/ImageVote_GridNet-HD_baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heig-vd-geo/ImageVote_GridNet-HD_baseline with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="heig-vd-geo/ImageVote_GridNet-HD_baseline")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("heig-vd-geo/ImageVote_GridNet-HD_baseline", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, library name, and paper link
#1
by nielsr HF Staff - opened
Hi! I'm Niels from the community science team at Hugging Face. This PR improves the model card by:
- Adding the
pipeline_tag: image-segmentationto help users find the model on the Hub. - Adding
library_name: transformerssince the implementation usesUperNetForSemanticSegmentation. - Adding a direct link to the official paper page on Hugging Face for better accessibility.
Thanks Niels for improving the model card and adding the paper reference
Antoine1091 changed pull request status to merged