Instructions to use awkyu/audiogen-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use awkyu/audiogen-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="awkyu/audiogen-medium")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("awkyu/audiogen-medium") model = AutoModelForTextToWaveform.from_pretrained("awkyu/audiogen-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80f1cb204d1d9b002ddb3092d19ee524c41c93cd74aae0761341182b40c82d5a
- Size of remote file:
- 236 MB
- SHA256:
- 5a520e64ca99226a9956f83b06df0617b713183fcdc384779883a6bb46dc1095
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