Instructions to use HaoyuHuang2/graphjudger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HaoyuHuang2/graphjudger with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HaoyuHuang2/graphjudger", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Improve model card: Add pipeline tag, library name, and GitHub link
#1
by nielsr HF Staff - opened
This PR enhances the model card by:
- Adding
pipeline_tag: graph-mlto improve discoverability for knowledge graph related tasks. - Specifying
library_name: transformersas the model uses the Hugging Face Transformers library for loading and inference. - Including a direct link to the GitHub repository for easier access to the code.
- The existing paper link to arXiv has been retained as per the instructions provided.
Thanks so much!
HaoyuHuang2 changed pull request status to merged