Instructions to use hf-internal-testing/tiny-random-VitsModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-VitsModel 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-VitsModel")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-VitsModel") model = AutoModelForTextToWaveform.from_pretrained("hf-internal-testing/tiny-random-VitsModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 795049cd8fa5eae0ef563e368de309c8bb68d6980ded2da434ce4bed8b0da0b4
- Size of remote file:
- 343 kB
- SHA256:
- 2350aaa62ec139613dfe4278e12f6e1b6a7b8fa05cbb31d79ded071b12c1aaf9
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