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
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README.md
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# Bias, Risks, and Limitations
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The Graphormer model is
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## How to Get Started with the Model
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# Bias, Risks, and Limitations
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The Graphormer model is resource intensive for large graphs, and might lead to OOM errors.
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## How to Get Started with the Model
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