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Dusit-P
/
thai-sentiment

Text Classification
Transformers
Safetensors
Thai
sentiment-analysis
thai
wangchanberta
bilstm
cnn
lstm
Model card Files Files and versions
xet
Community
1

Instructions to use Dusit-P/thai-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Dusit-P/thai-sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Dusit-P/thai-sentiment")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Dusit-P/thai-sentiment", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
thai-sentiment
1.69 GB
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  • 1 contributor
History: 10 commits
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Dusit-P
Update README.md
b5a3973 verified 7 months ago
  • WCB
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  • WCB_4Layer_BiLSTM
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  • WCB_BiLSTM
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  • WCB_CNN_BiLSTM
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  • common
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  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • LICENSE
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  • README.md
    12.3 kB
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  • infer.py
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  • requirements.txt
    34 Bytes
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