Instructions to use hf-internal-testing/tiny-random-BarkModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BarkModel 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-BarkModel")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-BarkModel") model = AutoModelForTextToWaveform.from_pretrained("hf-internal-testing/tiny-random-BarkModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dee24099953aa9d74e69b1cc12aff1042cd48e6f7a5eb3e21b920541e6dfde9d
- Size of remote file:
- 900 kB
- SHA256:
- 20ec706154646293d034c166655d154c8a1f815595816449924c907de99da34b
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