Instructions to use CDS-GROUP/graph-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CDS-GROUP/graph-classification with Transformers:
# Load model directly from transformers import GraphormerForGraphClassification model = GraphormerForGraphClassification.from_pretrained("CDS-GROUP/graph-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e3e4eef7da71102ad6233eb3002eaee6179167aafae372dda866794a7a24ab9
- Size of remote file:
- 191 MB
- SHA256:
- 88b36b511821a0dd2fe4693ac57d09721a1826c93cc68508f82de4a8ba0db149
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.