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korean_sentiment
matthewburke/korean_sentiment
korean_sentiment is a text classification model from matthewburke. Use it when you need a label for a piece of text. It is set up for transformers.
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853K
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Repo size
996 MB
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18
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- electra
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jan 16, 2022
- SHA
- 87ed5cf5
Try a prompt
Model card
From the Hugging Face model README
from transformers import pipeline
classifier = pipeline("text-classification", model="matthewburke/korean_sentiment")
custom_tweet = "영화 재밌다."
preds = classifier(custom_tweet, return_all_scores=True)
is_positive = preds[0][1]['score'] > 0.5
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- Created
- Mar 2, 2022
- Updated
- Jan 16, 2022