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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65d2af4047b614a7e1ee4e18cfcf1ca1958f5b478919677a13d0b5b15c0abe9e
- Size of remote file:
- 380 kB
- SHA256:
- d3841df26d469d9f1208de4bd0b0f8a60d13f056032e06cb941917ec0150d614
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