huggingface / huggingface/audio-transformers-course

fix a typoe

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Description

In UNIT4 : Pretrained models for audio classification
We’ll load an official [Audio Spectrogram Transformer](https://huggingface.co/docs/transformers/model_doc/audio-spectrogram-transformer) checkpoint fine-tuned on the Speech Commands dataset, under the namespace ["MIT/ast-finetuned-speech-commands-v2"](https://huggingface.co/MIT/ast-finetuned-speech-commands-v2):

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classifier = pipeline(
"audio-classification", model="MIT/ast-finetuned-speech-commands-v2"
)
classifier(sample["audio"])
Fix it to be classifier(sample["audio"]["array"])
I don't know how to make a pull request yet! :)

Contributor guide

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Research direction

Start in UNIT4 at the “Pretrained models for audio classification” example and inspect the shown classifier call. Update the audio argument to use the sample’s array, then verify the lesson displays the corrected example.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
documentation, machine-learning
Issue type
Documentation
Difficulty
1/5
Estimated time
Under an hour
Activity status
Stale
Clarity
Clearly specified
Newbie friendliness
38/100

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