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NorGLM
/
Entailment

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
Norwegian
bert
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use NorGLM/Entailment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="NorGLM/Entailment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("NorGLM/Entailment")
    model = AutoModelForSequenceClassification.from_pretrained("NorGLM/Entailment")
  • Notebooks
  • Google Colab
  • Kaggle
Entailment
997 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
NorGLM's picture
NorGLM
Update README.md
2781109 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README
    395 Bytes
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  • README.md
    3.74 kB
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  • config.json
    846 Bytes
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  • meta.json
    2.3 kB
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    498 MB
    xet
    Upload 7 files about 2 years ago
  • tf_model.h5
    498 MB
    xet
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  • tokenizer_config.json
    29 Bytes
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  • vocab.txt
    383 kB
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