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rtorresb
/
mi-super-modelo

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use rtorresb/mi-super-modelo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rtorresb/mi-super-modelo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rtorresb/mi-super-modelo")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rtorresb/mi-super-modelo")
    model = AutoModelForSequenceClassification.from_pretrained("rtorresb/mi-super-modelo", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mi-super-modelo / runs
19.5 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
rtorresb's picture
rtorresb
End of training
3c671fd verified about 2 years ago
  • Jun18_00-53-17_91cc0d207dbc
    End of training about 2 years ago
  • Jun18_01-05-28_91cc0d207dbc
    End of training about 2 years ago
  • Jun18_01-06-04_91cc0d207dbc
    End of training about 2 years ago
  • Jun18_01-09-28_91cc0d207dbc
    End of training about 2 years ago