Create README.md
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README.md
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### Introduction:
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This model belongs to text-classification. You can check whether the sentence consists any emotion.
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### Label Explaination:
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LABEL_1: Positive (have positive emotion)
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LABEL_0: Negative (have negative emotion)
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### Usage:
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```python
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>>> from transformers import pipeline
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>>> ec = pipeline('sentiment-analysis', model='emotion_classifer')
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>>> ec("Hello, I'm a good model.")
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```
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### Accuracy:
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We reach 93.98% for validation dataset, and 91.92% for test dataset.
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