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crypter70
/
IndoBERT-Sentiment-Analysis

Text Classification
Transformers
Safetensors
Indonesian
English
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use crypter70/IndoBERT-Sentiment-Analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use crypter70/IndoBERT-Sentiment-Analysis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="crypter70/IndoBERT-Sentiment-Analysis")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("crypter70/IndoBERT-Sentiment-Analysis")
    model = AutoModelForSequenceClassification.from_pretrained("crypter70/IndoBERT-Sentiment-Analysis")
  • Notebooks
  • Google Colab
  • Kaggle
IndoBERT-Sentiment-Analysis
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  • 1 contributor
History: 4 commits

This model has 1 file scanned as unsafe.

crypter70's picture
crypter70
Update README.md
e4f8061 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    3.25 kB
    Update README.md about 2 years ago
  • config.json
    1.1 kB
    End of training about 2 years ago
  • model.safetensors
    498 MB
    xet
    End of training about 2 years ago
  • special_tokens_map.json
    125 Bytes
    End of training about 2 years ago
  • tokenizer.json
    709 kB
    End of training about 2 years ago
  • tokenizer_config.json
    1.26 kB
    End of training about 2 years ago
  • training_args.bin
    4.92 kB
    xet
    End of training about 2 years ago
  • vocab.txt
    229 kB
    End of training about 2 years ago