This model was converted to MLX format from ./whisper-large-v3-turbo using mlx-audio version 0.2.10.
Refer to the original model card for more details on the model.
pip install -U mlx-audio
python -m mlx_audio.stt.generate --model mlx-community/whisper-large-v3-turbo-asr-fp16 --audio "audio.wav"
from mlx_audio.stt.utils import load_model
from mlx_audio.stt.generate import generate_transcription
model = load_model("mlx-community/whisper-large-v3-turbo-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)
2 commits
This model was converted to MLX format from ./whisper-large-v3-turbo using mlx-audio version 0.2.10.
Refer to the original model card for more details on the model.
pip install -U mlx-audio
python -m mlx_audio.stt.generate --model mlx-community/whisper-large-v3-turbo-asr-fp16 --audio "audio.wav"
from mlx_audio.stt.utils import load_model
from mlx_audio.stt.generate import generate_transcription
model = load_model("mlx-community/whisper-large-v3-turbo-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)
2 commits