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simonmun
/
Lo_SentenceClassification

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

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

  • Libraries
  • Transformers

    How to use simonmun/Lo_SentenceClassification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="simonmun/Lo_SentenceClassification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("simonmun/Lo_SentenceClassification")
    model = AutoModelForSequenceClassification.from_pretrained("simonmun/Lo_SentenceClassification")
  • Notebooks
  • Google Colab
  • Kaggle
Lo_SentenceClassification
738 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
320c4fe about 5 years ago
  • .gitattributes
    391 Bytes
    allow flax about 5 years ago
  • config.json
    749 Bytes
    Update config.json almost 6 years ago
  • flax_model.msgpack
    369 MB
    xet
    upload flax model about 5 years ago
  • pytorch_model.bin
    369 MB
    xet
    Update pytorch_model.bin almost 6 years ago
  • special_tokens_map.json
    112 Bytes
    Update special_tokens_map.json almost 6 years ago
  • tokenizer_78b3253a26.model
    371 kB
    Update tokenizer_78b3253a26.model almost 6 years ago
  • tokenizer_config.json
    49 Bytes
    Update tokenizer_config.json almost 6 years ago
  • vocab.txt
    69.8 kB
    Update vocab.txt almost 6 years ago