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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")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("teguholix/BERTAUT")
    model = AutoModelForSequenceClassification.from_pretrained("teguholix/BERTAUT", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
BERTAUT
716 MB
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  • 1 contributor
History: 45 commits
teguholix's picture
teguholix
Update BERTAUT v1 model card
f692ddd verified 5 months ago
  • reports
    Upload BERTAUT v1 report zip 5 months ago
  • .gitattributes
    1.66 kB
    Upload BERTAUT v1 report file confusion_matrix.png 5 months ago
  • README.md
    15.7 kB
    Update BERTAUT v1 model card 5 months ago
  • config.json
    1.14 kB
    Model save 5 months ago
  • model.safetensors
    711 MB
    xet
    Model save 5 months ago
  • tokenizer.json
    2.92 MB
    Model save 5 months ago
  • tokenizer_config.json
    352 Bytes
    Model save 5 months ago
  • training_args.bin
    5.2 kB
    xet
    Model save 5 months ago