mlx-community/whisper-medium-asr-fp16
This model was converted to MLX format from openai/whisper-medium using mlx-audio version 0.2.10.
Refer to the original model card for more details on the model.
Use with mlx-audio
pip install -U mlx-audio
CLI Example:
python -m mlx_audio.stt.generate --model mlx-community/whisper-medium-asr-fp16 --audio "audio.wav"
Python Example:
from mlx_audio.stt.utils import load_model
from mlx_audio.stt.generate import generate_transcription
model = load_model("mlx-community/whisper-medium-asr-fp16")
transcription = generate_transcription(
model=model,
audio_path="path_to_audio.wav",
output_path="path_to_output.txt",
format="txt",
verbose=True,
)
print(transcription.text)
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Evaluation results
- Test WER on LibriSpeech (clean)test set self-reported2.900
- Test WER on LibriSpeech (other)test set self-reported5.900
- Test WER on Common Voice 11.0test set self-reported53.870