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ketiswp
/
meshgraphnet-hf

Feature Extraction
Transformers
Safetensors
meshgraphnet
graph-neural-network
cfd
cylinder-flow
custom_code
Model card Files Files and versions
xet
Community

Instructions to use ketiswp/meshgraphnet-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ketiswp/meshgraphnet-hf with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="ketiswp/meshgraphnet-hf", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ketiswp/meshgraphnet-hf", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
meshgraphnet-hf
9.39 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Devcow's picture
Devcow
Initial commit
2528620 verified 2 days ago
  • .gitattributes
    509 Bytes
    Initial commit 2 days ago
  • LICENSE
    11.4 kB
    Initial commit 2 days ago
  • README.md
    2.24 kB
    Initial commit 2 days ago
  • config.json
    542 Bytes
    Initial commit 2 days ago
  • meshgraphnet.py
    13.5 kB
    Initial commit 2 days ago
  • model.safetensors
    9.36 MB
    xet
    Initial commit 2 days ago