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:
- 76bb5ec6c7e0c59d8dba68c9250fa92085e085b4272d6d347dec6833a4400a27
- Size of remote file:
- 4.89 MB
- SHA256:
- c53b10234b0bd18a0e700c44607e8d340d3027de0f8f07d6d76986682535c853
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