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aloxatel
/
9WT

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

Instructions to use aloxatel/9WT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aloxatel/9WT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="aloxatel/9WT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("aloxatel/9WT")
    model = AutoModelForSequenceClassification.from_pretrained("aloxatel/9WT")
  • Notebooks
  • Google Colab
  • Kaggle
9WT
1.34 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
12654fb almost 5 years ago
  • .gitattributes
    391 Bytes
    allow flax almost 5 years ago
  • config.json
    639 Bytes
    Update config.json over 5 years ago
  • flax_model.msgpack
    669 MB
    xet
    upload flax model almost 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    669 MB
    xet
    Update pytorch_model.bin over 5 years ago
  • special_tokens_map.json
    112 Bytes
    Update special_tokens_map.json over 5 years ago
  • tokenizer_config.json
    48 Bytes
    Update tokenizer_config.json over 5 years ago
  • training_args.bin

    Detected Pickle imports (2)

    • "argparse.Namespace",
    • "torch.device"

    How to fix it?

    1.36 kB
    xet
    Update training_args.bin over 5 years ago
  • vocab.txt
    872 kB
    Update vocab.txt over 5 years ago