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:
- 797e07c92fd6e8917177c4dc2ef3ec00ad0c004eb1eb260a5d99f30e8bdd0e38
- Size of remote file:
- 937 kB
- SHA256:
- 2632a7ff6f690ff374d388a3796728cff45662de71b4e9b2f3eac81661a71bb2
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