--- license: apache-2.0 language: - sw tags: - hf-asr-leaderboard - generated-from-trainer - whisper-event datasets: - mozilla_foundation/common_voice_11_0 metrics: - WER --- ## Model * Name: Whisper Small Swahili * Description: Whisper weights for speech-to-text task, fine-tuned and evaluated on normalized data. * Performance: **21.934203 WER** ## Weights * Date of release: 12.09.2022 * Size: * License: MIT ## Usage To use these weights in HuggingFace's `transformers` library, you can do the following: ```python from transformers import WhisperForConditionalGeneration model = WhisperForConditionalGeneration.from_pretrained("hedronstone/whisper-small-sw") ```