| ### Introduction: | |
| This model belongs to text-classification. You can determine the emotion behind a sentence. | |
| ### Label Explaination: | |
| LABEL_0: Positive (have positive emotion) | |
| LABEL_1: 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 83.82% for validation dataset, and 84.42% for test dataset. |