metadata
license: mit
datasets:
- lisn519010/QM9
language:
- en
metrics:
- mae
- accuracy
- mse
- r_squared
pipeline_tag: graph-ml
pip install torch_scatter rdkit
pip install torch_geometric
example
from transformers import AutoModel
device = 'cpu'
smiles = ['CCCC', 'C#C/C(C)=C(/[CH2])C', 'NNNNN']
model = AutoModel.from_pretrained("Huhujingjing/custom-gcn", trust_remote_code=True).to(device)
output = model.predict_smiles(smiles)
print(output)