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MYC007
/
Real-and-Fake-News-Detection

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use MYC007/Real-and-Fake-News-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MYC007/Real-and-Fake-News-Detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MYC007/Real-and-Fake-News-Detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MYC007/Real-and-Fake-News-Detection")
    model = AutoModelForSequenceClassification.from_pretrained("MYC007/Real-and-Fake-News-Detection", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Real-and-Fake-News-Detection
1.5 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 48 commits
MYC007's picture
MYC007
Update README.md
69db798 over 3 years ago
  • README.md
    187 Bytes
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  • config.json
    560 Bytes
    Upload 2 files over 3 years ago
  • flax_model.msgpack
    499 MB
    xet
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  • gitattributes.txt
    391 Bytes
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  • merges.txt
    456 kB
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    499 MB
    xet
    Upload pytorch_model.bin over 3 years ago
  • special_tokens_map.json
    772 Bytes
    Upload 8 files over 3 years ago
  • tf_model.h5
    501 MB
    xet
    Upload tf_model.h5 over 3 years ago
  • tokenizer_config.json
    1.05 kB
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  • training_args.bin

    Detected Pickle imports (3)

    • "torch.device",
    • "transformers.training_args.TrainingArguments",
    • "transformers.trainer_utils.EvaluationStrategy"

    How to fix it?

    1.78 kB
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  • vocab.json
    899 kB
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