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bradgrimm
/
patent-cpc-predictor

Feature Extraction
Transformers
PyTorch
Safetensors
English
deberta-v2
patent
deberta
Model card Files Files and versions
xet
Community
1

Instructions to use bradgrimm/patent-cpc-predictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bradgrimm/patent-cpc-predictor with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="bradgrimm/patent-cpc-predictor")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("bradgrimm/patent-cpc-predictor")
    model = AutoModel.from_pretrained("bradgrimm/patent-cpc-predictor")
  • Notebooks
  • Google Colab
  • Kaggle
patent-cpc-predictor
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
bradgrimm's picture
bradgrimm
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
1963b76 verified over 2 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • README.md
    445 Bytes
    Update README.md about 4 years ago
  • config.json
    860 Bytes
    add model about 4 years ago
  • model.safetensors
    565 MB
    xet
    Adding `safetensors` variant of this model (#1) over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    565 MB
    xet
    add model about 4 years ago