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Use pip for mlx data with speech commands (#307)

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* update to use pypi mlx data

* nit in readme
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Awni Hannun 2024-01-12 11:06:33 -08:00 committed by GitHub
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speechcommands/README.md
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@ -8,10 +8,6 @@ dataset.
## Pre-requisites
Follow the [installation
instructions](https://ml-explore.github.io/mlx-data/build/html/install.html)
for MLX Data.
Install the remaining python requirements:
```

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speechcommands/requirements.txt
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@ -1 +1,2 @@
mlx>=0.0.5
mlx
mlx-data

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whisper/README.md
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@ -52,13 +52,13 @@ import whisper
text = whisper.transcribe(speech_file)["text"]
```
Choose the model by setting `hf_path_or_repo`. For example:
Choose the model by setting `path_or_hf_repo`. For example:
```python
result = whisper.transcribe(speech_file, hf_path_or_repo="models/large")
result = whisper.transcribe(speech_file, path_or_hf_repo="models/large")
```
This will load the model contained in `models/large`. The `hf_path_or_repo`
This will load the model contained in `models/large`. The `path_or_hf_repo`
can also point to an MLX-style Whisper model on the Hugging Face Hub. In this
case, the model will be automatically downloaded.