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:
- b1e4c3a9ce1bf497ec7b0e3d7bbb1f32b35b5164e3f758a0fd27dbdd51c6b8d0
- Size of remote file:
- 4.89 MB
- SHA256:
- dc9955c170e68e1bfc779ccea5c7860c5a9b173e1f2682fa74d555498e6ceb9c
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