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Rendika
/
tweets-election-classification

Text Classification
Transformers
Safetensors
English
Indonesian
bert
legal
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Rendika/tweets-election-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Rendika/tweets-election-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Rendika/tweets-election-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Rendika/tweets-election-classification")
    model = AutoModelForSequenceClassification.from_pretrained("Rendika/tweets-election-classification")
  • Notebooks
  • Google Colab
  • Kaggle
tweets-election-classification
443 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
Rendika's picture
Rendika
Update README.md
5303004 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.32 kB
    Update README.md almost 2 years ago
  • config.json
    1.15 kB
    Fine Tune Model of IndoBERTweet almost 2 years ago
  • model.safetensors
    442 MB
    xet
    Fine Tune Model of IndoBERTweet almost 2 years ago
  • special_tokens_map.json
    125 Bytes
    Fine Tune Model of IndoBERTweet almost 2 years ago
  • tokenizer.json
    738 kB
    Fine Tune Model of IndoBERTweet almost 2 years ago
  • tokenizer_config.json
    1.26 kB
    Fine Tune Model of IndoBERTweet almost 2 years ago
  • vocab.txt
    235 kB
    Fine Tune Model of IndoBERTweet almost 2 years ago