Instructions to use hf-internal-testing/tiny-random-MusicgenForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MusicgenForConditionalGeneration 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-MusicgenForConditionalGeneration")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MusicgenForConditionalGeneration") model = AutoModelForTextToWaveform.from_pretrained("hf-internal-testing/tiny-random-MusicgenForConditionalGeneration") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec8d69d184fa8c75b26732f4dbb2b288d2aaaf6b0216283bef59b1a9f3a0563c
- Size of remote file:
- 4.96 MB
- SHA256:
- 33a85354e7302dc3fa9aa2feeba70346a5690e49e4be0871efc85d5522aa4c98
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