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fzbuzz
/
COMET2019_ConceptNet

Feature Extraction
Transformers
PyTorch
custom_code
Model card Files Files and versions
xet
Community

Instructions to use fzbuzz/COMET2019_ConceptNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fzbuzz/COMET2019_ConceptNet with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="fzbuzz/COMET2019_ConceptNet", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("fzbuzz/COMET2019_ConceptNet", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
COMET2019_ConceptNet
465 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
fzbuzz's picture
fzbuzz
Create README.md
4fe0aea about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    167 Bytes
    Create README.md about 3 years ago
  • config.json
    488 Bytes
    Upload model about 3 years ago
  • config.py
    1.47 kB
    Upload model about 3 years ago
  • model.py
    1.19 kB
    Upload model about 3 years ago
  • original.py
    7.77 kB
    Upload model about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict",
    • "torch.FloatStorage"

    What is a pickle import?

    465 MB
    xet
    Upload model about 3 years ago