Instructions to use hf-internal-testing/tiny-random-MusicgenMelodyForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MusicgenMelodyForConditionalGeneration with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="hf-internal-testing/tiny-random-MusicgenMelodyForConditionalGeneration")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MusicgenMelodyForConditionalGeneration") model = AutoModelForTextToWaveform.from_pretrained("hf-internal-testing/tiny-random-MusicgenMelodyForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59e6962e398a06ae08862ac89d5a41cac4ee65161ec9e921bdbf3a26ebfbdf3f
- Size of remote file:
- 4.89 MB
- SHA256:
- b4ad6b72cb0d47b323901baa16817bbb871e89f77b12bd48682857012d0b8157
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