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UNCANNY69
/
Misinfo-BERT-LSTM

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

Instructions to use UNCANNY69/Misinfo-BERT-LSTM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use UNCANNY69/Misinfo-BERT-LSTM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="UNCANNY69/Misinfo-BERT-LSTM", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("UNCANNY69/Misinfo-BERT-LSTM", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Misinfo-BERT-LSTM
441 MB
Ctrl+K
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  • 1 contributor
History: 10 commits
UNCANNY69's picture
UNCANNY69
Update model.py
63b12c0 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    567 Bytes
    Update config.json over 2 years ago
  • model.py
    3.37 kB
    Update model.py over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    440 MB
    xet
    Add model to files almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Add model and tokenizer files almost 3 years ago
  • tokenizer.json
    711 kB
    Add model and tokenizer files almost 3 years ago
  • tokenizer_config.json
    314 Bytes
    Add model and tokenizer files almost 3 years ago
  • vocab.txt
    232 kB
    Add model and tokenizer files almost 3 years ago