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:
- 03278006879cd6ec9dd114959f5f8c86350faa4d84d55389698a998e8ecea9f9
- Size of remote file:
- 4.89 MB
- SHA256:
- 8e0b051206f8397d0c3c9b98192de87d4e8e828fcc0d76dc9a91b08e76ba458f
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