Model: badmatr11x/roberta-base-emotions-detection-from-text
Author: badmatr11x
Pipeline: text-classification
Library: transformers
Tags: transformers, pytorch, tf, roberta, text-classification, en, license:mit, endpoints_compatible, region:us
Card metadata: license: mit
widget: text: With tears of joy streaming down her cheeks, she embraced her long-lost brother after years of separation.
example_title: Joy, text: As the orchestra played the final note, the audience erupted into thunderous applause, filling the concert hall with joy.
example_title: Joy, text: The old man sat alone on the park bench, reminiscing about the love he had lost, his eyes filled with sadness.
example_title: Sadness, text: The news of her best friend moving to a distant country left her feeling a profound sadness and emptiness.
example_title: Sadness, text: The scientific research paper discussed complex concepts that were beyond the scope of a laymans understanding.
example_title: Neutral, text: The documentary provided an objective view of the historical events, presenting facts without any bias.
example_title: Neutral, text: He clenched his fists tightly, trying to control the surge of anger when he heard the offensive remarks.
example_title: Anger, text: The unfair treatment at work ignited a simmering anger within him, leading him to consider confronting the management.
example_title: Anger, text: As the magician pulled a rabbit out of an empty hat, the children gasped in amazement and surprise.
example_title: Surprise, text: He opened the box to find a rare and valuable antique inside, leaving him speechless with surprise.
example_title: Surprise, text: The moldy and rotting food in the refrigerator evoked a sense of disgust, leading her to clean it immediately.
example_title: Disgust, text: The movie's graphic scenes of violence and gore left many viewers feeling a sense of disgust and unease.
example_title: Disgust, text: As the storm raged outside, the little child clung to their parents, seeking comfort from the fear of thunder.
example_title: Fear, text: The horror movie was so terrifying that some viewers had to cover their eyes in fear, unable to bear the suspense.
example_title: Fear
language: en
metrics: accuracy
pipeline_tag: text-classification
Likes: 7 | All-time downloads: 7673
Created: 2023-07-15 16:56:14