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teguholix
/
BERTAUT

Text Classification
Transformers
Safetensors
Indonesian
English
multilingual
bert
mbert
utaut
technology-acceptance
indonesian
spam-detection
user-review-analysis
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use teguholix/BERTAUT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="teguholix/BERTAUT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("teguholix/BERTAUT")
    model = AutoModelForSequenceClassification.from_pretrained("teguholix/BERTAUT")
  • Notebooks
  • Google Colab
  • Kaggle
BERTAUT / reports
1.76 MB
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  • 1 contributor
History: 35 commits
teguholix's picture
teguholix
Upload BERTAUT v1 report zip
0472c70 verified 5 days ago
  • v1
    Upload BERTAUT v1 report zip 5 days ago
  • BERTAUT_sample.csv
    878 kB
    Add BERTAUT training dataset report CSV 6 days ago