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JOOMINJI
/
NSMC_model.bin

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

Instructions to use JOOMINJI/NSMC_model.bin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JOOMINJI/NSMC_model.bin with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="JOOMINJI/NSMC_model.bin")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("JOOMINJI/NSMC_model.bin")
    model = AutoModelForSequenceClassification.from_pretrained("JOOMINJI/NSMC_model.bin")
  • Notebooks
  • Google Colab
  • Kaggle
NSMC_model.bin
738 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
e1b1507 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • config.json
    689 Bytes
    Rename config (1).json to config.json about 2 years ago
  • model.safetensors
    369 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    369 MB
    xet
    Rename NSMC_model.bin to pytorch_model.bin about 2 years ago
  • vocab.txt
    77.8 kB
    Upload 4 files about 2 years ago