An MLX conversion of a Whisper large-v3-turbo fine-tune for Sesotho (Southern Sotho) trained by DSFSI on the African Next Voices corpus. The weights are unchanged apart from the format conversion, for use with Apple silicon. All credit for the model goes to the original authors. Please cite and refer to the source model and the African Next Voices dataset. Whisper has no Sesotho language token. The fine-tune decodes under the English token (en), which Whisper's language detection narrowly picks for it, so pass it explicitly to avoid detection drifting to another language. Turning off conditiononprevioustext avoids repetition loops on long audio. Converted from source revision…
Open weights
mit
mlx
A CTranslate2 conversion of a Whisper large-v3-turbo fine-tune for Sesotho (Southern Sotho) trained by DSFSI on the African Next Voices corpus. The weights are unchanged apart from the format conversion and int8 quantization, for use with All credit for the model goes to the original authors. Please cite and refer to the source model and the African Next Voices dataset. Whisper has no Sesotho language token. The fine-tune decodes under the English token (en), which Whisper's language detection narrowly picks for it, so pass it explicitly to avoid detection drifting to another language. Turning off conditiononprevioustext avoids repetition loops on long audio. Converted from source revision…
Open weights
mit
ctranslate2
An MLX conversion of a Whisper large-v3-turbo fine-tune for Zulu trained by DSFSI on the African Next Voices corpus. The weights are unchanged apart from the format conversion, for use with Apple silicon. All credit for the model goes to the original authors. Please cite and refer to the source model and the African Next Voices dataset. Whisper has no isiZulu language token. The fine-tune decodes under the English token (en), which Whisper's language detection narrowly picks for it, so pass it explicitly to avoid detection drifting to another language. Turning off conditiononprevioustext avoids repetition loops on long audio. Converted from source revision…
Open weights
mit
mlx
A CTranslate2 conversion of a Whisper large-v3-turbo fine-tune for Zulu trained by DSFSI on the African Next Voices corpus. The weights are unchanged apart from the format conversion and int8 quantization, for use with All credit for the model goes to the original authors. Please cite and refer to the source model and the African Next Voices dataset. Whisper has no isiZulu language token. The fine-tune decodes under the English token (en), which Whisper's language detection narrowly picks for it, so pass it explicitly to avoid detection drifting to another language. Turning off conditiononprevioustext avoids repetition loops on long audio. Converted from source revision…
Open weights
mit
ctranslate2
