Text Classification
Transformers
Safetensors
Thai
thai
sentiment-analysis
wangchanberta
bilstm
cnn
gradio
space
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")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Dusit-P/thai-sentiment-wcb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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## โครงไฟล์ขà¸à¸‡à¸£à¸µà¹‚ป
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## โครงไฟล์ขà¸à¸‡à¸£à¸µà¹‚ป
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>common/models.py
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>baseline/
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>├─ config.json
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>└─ model.safetensors
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>cnn_bilstm/
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>├─ config.json
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>└─ model.safetensors
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>last4weighted_bilstm/
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>├─ config.json
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>└─ model.safetensors
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>requirements.txt
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>LICENSE
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