### Introduction: | |
This model belongs to text-classification. You can determine the emotion behind a sentence. | |
### Label Explaination: | |
LABEL_1: Positive (have positive emotion) | |
LABEL_0: Negative (have negative emotion) | |
### Usage: | |
```python | |
>>> from transformers import pipeline | |
>>> ec = pipeline('text-classification', model='Osiris/emotion_classifier') | |
>>> ec("Hello, I'm a good model.") | |
``` | |
### Accuracy: | |
We reach 81.86% for validation dataset, and % for test dataset. |