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orkg
/
orkgnlp-templates-recommendation

Text Classification
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use orkg/orkgnlp-templates-recommendation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use orkg/orkgnlp-templates-recommendation with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="orkg/orkgnlp-templates-recommendation")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("orkg/orkgnlp-templates-recommendation")
    model = AutoModelForSequenceClassification.from_pretrained("orkg/orkgnlp-templates-recommendation", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
orkgnlp-templates-recommendation
440 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
omar-araboghli's picture
omar-araboghli
uploading model and labels
a5d0145 almost 4 years ago
  • .gitattributes
    1.34 kB
    initial commit almost 4 years ago
  • README.md
    258 Bytes
    uploading model and labels almost 4 years ago
  • config.json
    879 Bytes
    uploading model and labels almost 4 years ago
  • labels.json
    6.69 kB
    uploading model and labels almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    440 MB
    xet
    uploading model and labels almost 4 years ago