Instructions to use clefourrier/graphormer-base-pcqm4mv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clefourrier/graphormer-base-pcqm4mv1 with Transformers:
# Load model directly from transformers import GraphormerForGraphClassification model = GraphormerForGraphClassification.from_pretrained("clefourrier/graphormer-base-pcqm4mv1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ead4587c1c5215ce5fcea706f899194536387ee5b4efca70d2ac8ad10c3317fb
- Size of remote file:
- 191 MB
- SHA256:
- 8d636207c28c3fa9b05bd0107c78f5e4d7768cefec2fd3489172ba3940041342
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