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huolongguo10
/
Spam_Detect

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

Instructions to use huolongguo10/Spam_Detect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use huolongguo10/Spam_Detect with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="huolongguo10/Spam_Detect")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("huolongguo10/Spam_Detect")
    model = AutoModelForSequenceClassification.from_pretrained("huolongguo10/Spam_Detect")
  • Notebooks
  • Google Colab
  • Kaggle
Spam_Detect
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  • 1 contributor
History: 2 commits
huolongguo10's picture
huolongguo10
Upload 5 files
0cbad5c almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    967 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    46.2 MB
    xet
    Upload 5 files almost 3 years ago
  • special_tokens_map.json
    125 Bytes
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  • tokenizer_config.json
    367 Bytes
    Upload 5 files almost 3 years ago
  • vocab.txt
    110 kB
    Upload 5 files almost 3 years ago