| ### 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. |