readme: ### Introduction:
  This model belongs to text-classification. You can check whether the sentence consists any emotion.
  ### Label Explaination:
  LABEL_1: Non Neutral (have some emotions)
  
  LABEL_0: Neutral (have no emotion)
  ### Usage:
  ```python
  >>> from transformers import pipeline
  >>> nnc = pipeline('text-classification', model='Osiris/neutral_non_neutral_classifier')
  >>> nnc("Hello, I'm a good model.")
  ```
  
  ### Accuracy:
  We reach 93.98% for validation dataset, and 91.92% for test dataset.