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Gnider
/
hackat_ver2_30ep_bert_base

Text Classification
Transformers
TensorBoard
Safetensors
bert
Model card Files Files and versions
xet
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Instructions to use Gnider/hackat_ver2_30ep_bert_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Gnider/hackat_ver2_30ep_bert_base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Gnider/hackat_ver2_30ep_bert_base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Gnider/hackat_ver2_30ep_bert_base")
    model = AutoModelForSequenceClassification.from_pretrained("Gnider/hackat_ver2_30ep_bert_base")
  • Notebooks
  • Google Colab
  • Kaggle
hackat_ver2_30ep_bert_base / wandb
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  • 1 contributor
History: 1 commit
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Gnider
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