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Kamer
/
DayOne5500_Steps

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

Instructions to use Kamer/DayOne5500_Steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Kamer/DayOne5500_Steps with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Kamer/DayOne5500_Steps")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Kamer/DayOne5500_Steps")
    model = AutoModelForSequenceClassification.from_pretrained("Kamer/DayOne5500_Steps")
  • Notebooks
  • Google Colab
  • Kaggle
DayOne5500_Steps
438 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
Kamer's picture
Kamer
Upload BertForSequenceClassification
048c24b over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    1.64 kB
    Upload BertForSequenceClassification over 2 years ago
  • pytorch_model.bin
    438 MB
    xet
    Upload BertForSequenceClassification over 2 years ago