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Passing keyword arguments

In this exercise, you will learn how to pass keyword arguments to model functions when used inside a pipeline.

For this you will be using the MusicGen small model from Meta, which is capable of generating music samples based on text descriptions or audio prompts.

The pipeline module has been loaded, and the soundfile library is available as sf.

Este exercício faz parte do curso

Multi-Modal Models with Hugging Face

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Instruções do exercício

  • Load a text-to-audio pipeline using the facebook/musicgen-small model in the PyTorch framework.
  • Make a dictionary to set the generation temperature to 0.8 and max_new_tokens to 1.
  • Generate an audio array corresponding to the "Classic rock riff" prompt.

Exercício interativo prático

Experimente este exercício completando este código de exemplo.

# Load a text-to-audio pipeline
musicgen = pipeline(task="____", model="____", framework="pt")

# Make a dictionary to set the generation temperature to 0.8 and max_new_tokens to 1
generate_kwargs = {"____": ____, "____": ____}

# Generate an audio array passing the arguments
outputs = ____
sf.write("output.wav", outputs["audio"][0][0], outputs["sampling_rate"])
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