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owen99630
/
experience

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

Instructions to use owen99630/experience with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use owen99630/experience with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="owen99630/experience")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("owen99630/experience")
    model = AutoModelForSequenceClassification.from_pretrained("owen99630/experience")
  • Notebooks
  • Google Colab
  • Kaggle
experience
470 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
s3766882
update model
d32d2af over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    6.28 kB
    update model over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    470 MB
    xet
    update model over 4 years ago
  • special_tokens_map.json
    112 Bytes
    update model over 4 years ago
  • tokenizer_config.json
    558 Bytes
    update model over 4 years ago
  • vocab.txt
    232 kB
    update model over 4 years ago