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---
language: en
tags:
- text-classification
- tensorflow
license: mit
---
## Usage
```python
from transformers import RobertaTokenizerFast, TFRobertaForSequenceClassification, pipeline
tokenizer = RobertaTokenizerFast.from_pretrained("cappuch/Emotions_BERT")
model = TFRobertaForSequenceClassification.from_pretrained("cappuch/Emotions_BERT")
classific = pipeline('sentiment-analysis',
model='cappuch/Emotions_BERT')
labels = classific("Hello!")
print(labels)
#[{'label': 'neutral', 'score': 0.9964383244514465}]
```
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