Model: tabularisai/robust-sentiment-analysis
Author: tabularisai
Pipeline: text-classification
Library: transformers
Tags: transformers, safetensors, distilbert, text-classification, sentiment-analysis, sentiment, synthetic data, multi-class, social-media-analysis, customer-feedback, product-reviews, brand-monitoring, en, base_model:distilbert/distilbert-base-uncased, base_model:finetune:distilbert/distilbert-base-uncased, doi:10.57967/hf/6097, license:apache-2.0, endpoints_compatible, region:us
Base models (finetune): id: distilbert/distilbert-base-uncased
Card metadata: base_model: distilbert/distilbert-base-uncased
language: en
license: apache-2.0
pipeline_tag: text-classification
tags: text-classification, sentiment-analysis, sentiment, synthetic data, multi-class, social-media-analysis, customer-feedback, product-reviews, brand-monitoring
widget: text: I absolutely loved this movie! The acting was superb and the plot was engaging.
example_title: Very Positive Review, text: The service at this restaurant was terrible. I'll never go back.
example_title: Very Negative Review, text: The product works as expected. Nothing special, but it gets the job done.
example_title: Neutral Review, text: I'm somewhat disappointed with my purchase. It's not as good as I hoped.
example_title: Negative Review, text: This book changed my life! I couldn't put it down and learned so much.
example_title: Very Positive Review
inference: parameters: temperature: 1
Likes: 21 | All-time downloads: 141987
Created: 2024-07-23 13:21:44