# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mlx-community/whisper-tiny", dtype="auto")Quick Links
Converted using https://github.com/ml-explore/mlx-examples/tree/main/whisper with the command:
python convert.py --torch-name-or-path tiny --mlx-path mlx_models/tiny
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mlx-community/whisper-tiny")