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This project focuses on fine-tuning a pre-trained RoBERTa model (benjamin/roberta-base-wechsel-swahili) for Named Entity Recognition (NER) in Swahili using the MasakhaNER dataset. The goal is to identify and classify named entities such as PERSON, LOCATION, ORGANIZATION, DATE, etc., in Swahili text.

Creat2025-02-22T17:42:42
Update2022-08-03T20:07:28
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