Sentiment Roberta Large English is a RoBERTa-large model available on Hugging Face for text-classification. It addresses the need to determine positive or negative sentiment in English text. The model carries the identifier siebert/sentiment-roberta-large-english and was created on 2022-03-02. It has recorded over 9.6 million all-time downloads and more than 101,000 recent downloads. The page lists a tokenizer configuration that includes bos_token, eos_token, sep_token, cls_token, pad_token, and mask_token values. It supports inference through available providers and is marked with warm inference status. The model appears in the context of Hugging Face's ecosystem for models, tasks, and inference endpoints. Its page is part of the platform that advances open source and open science in artificial intelligence. The entry shows it as one of the models offered for text-classification with live provider status. No specific licensing details, training procedures, exact performance metrics, or target user roles beyond general model consumers are stated on the page.
In the Other AI space, Sentiment Roberta Large English takes a focused approach. Accurately determining the sentiment (positive/negative) of English text at scale. It is built as an open-source project for developers and data scientists. Sentiment Roberta Large English is open source under the Open Source license. Sentiment Roberta Large English is available on the web, API, and the command line.
siebert builds and maintains Sentiment Roberta Large English, and the product first shipped in 2022. Key capabilities include sentiment analysis, text classification, and roBERTa architecture.
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