Instructions to use clefourrier/graphormer-base-pcqm4mv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clefourrier/graphormer-base-pcqm4mv2 with Transformers:
# Load model directly from transformers import GraphormerForGraphClassification model = GraphormerForGraphClassification.from_pretrained("clefourrier/graphormer-base-pcqm4mv2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Grahpormer Encoder task
Hi, May I ask you about graphomer encoder which is not classification of regression on graph-level task.
How can I implement code to perform graph-encoder model on hugging face?
Thank you in advance
Hi! You'll have to look at the code in this PR and adapt it for your use case - I believe you could reuse the encoder as is.
Do graphormer model are capable to learn from complex node feature like atom 1: {single representation embedding from one hot encoding + embedded vocab(e.g. float64 with 64 dim)]?
I'm not sure about your specific use case, you will have to experiment :)
Hi , Should Hidden state of graphormer change every time?
Hi , Should Hidden state of graphormer change every time? Do encoder need to train first