Indonesian Roberta Base Sentiment Classifier is a machine learning model hosted on Hugging Face for text classification. It addresses the need to determine sentiment polarity in Indonesian-language text. The model is a fine-tuned version of the RoBERTa base architecture and carries the identifier w11wo/indonesian-roberta-base-sentiment-classifier.
It supports the text-classification task and is provided with a tokenizer configuration that defines special tokens including bos_token as <s, eos_token as </s, sep_token as </s, cls_token as <s, pad_token as <pad, and mask_token as <mask. The model became available on 2022-03-02 and remains accessible for inference through hosted providers. It has recorded over 1.4 million total downloads.
The model is delivered as an open artifact on the Hugging Face platform. It can be retrieved and run using the standard Hugging Face ecosystem, including inference endpoints when available. A DOI is assigned for citation purposes.
No pricing, licensing terms, or specific end-user roles are stated for the model itself.
Indonesian Roberta Base Sentiment Classifier is an Other AI product. It focuses on classifying sentiment in Indonesian text without building and training a model from scratch. It is built as an open-source project for developers. Indonesian Roberta Base Sentiment Classifier is open source under the Open Source license. It runs on the web and API.
Behind Indonesian Roberta Base Sentiment Classifier is w11wo, and the product first shipped in 2022. Key capabilities include Sentiment Classification, Indonesian Language Support, and Transformers Compatible.
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