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Nikolenko-Sergei
/
FukuiNet

Feature Extraction
Transformers
PyTorch
English
fukui_net
chemistry
biology
DFT
molecular-property-prediction
graph-neural-networks
fukui-indices
reactivity
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Nikolenko-Sergei/FukuiNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Nikolenko-Sergei/FukuiNet with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Nikolenko-Sergei/FukuiNet", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Nikolenko-Sergei/FukuiNet", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
FukuiNet / tests /__pycache__
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  • 1 contributor
History: 1 commit
Nikolenko-Sergei's picture
Nikolenko-Sergei
Add tests//
6c8c06a verified 8 months ago
  • __init__.cpython-311.pyc
    218 Bytes
    Add tests// 8 months ago
  • test_cli.cpython-311-pytest-8.4.2.pyc
    14.6 kB
    Add tests// 8 months ago
  • test_model.cpython-311-pytest-8.4.2.pyc
    22.4 kB
    Add tests// 8 months ago
  • test_predictor.cpython-311-pytest-8.4.2.pyc
    21 kB
    Add tests// 8 months ago