Edit model card

Usage


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}]
Downloads last month
6
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.