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Dusit-P
/
thai-sentiment-wcb

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

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Dusit-P/thai-sentiment-wcb")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Dusit-P/thai-sentiment-wcb", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
thai-sentiment-wcb
1.27 GB
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  • 1 contributor
History: 25 commits
Dusit-P's picture
Dusit-P
Update README.md
deb934d verified 8 months ago
  • baseline
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  • cnn_bilstm
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  • common
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  • last4weighted_bilstm
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  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    11.7 kB
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  • infer.py
    1.84 kB
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  • requirements.txt
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