readme: ### 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.