### 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.
{}
transformers pytorch roberta text-classification autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #text-classification #autotrain_compatible #endpoints_compatible #region-us 

### 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:


### Accuracy:
We reach 93.98% for validation dataset, and 91.92% for test dataset.
### 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: ### Accuracy:
We reach 93.98% for validation dataset, and 91.92% for test dataset.
TAGS
#transformers #pytorch #roberta #text-classification #autotrain_compatible #endpoints_compatible #region-us 
 ### 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: ### Accuracy:
We reach 93.98% for validation dataset, and 91.92% for test dataset.
passage: TAGS
#transformers #pytorch #roberta #text-classification #autotrain_compatible #endpoints_compatible #region-us 
### 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:### Accuracy:
We reach 93.98% for validation dataset, and 91.92% for test dataset.