Instructions to use mlx-community/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mlx-community/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mlx-community/whisper-tiny")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mlx-community/whisper-tiny", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add `pipeline_tag: automatic-speech-recognition`
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by lessquo - opened
README.md
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Converted using https://github.com/ml-explore/mlx-examples/tree/main/whisper with the command:
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```
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pipeline_tag: automatic-speech-recognition
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Converted using https://github.com/ml-explore/mlx-examples/tree/main/whisper with the command:
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```
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