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}]

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Text Classification

This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.