Instructions to use wasmdashai/vits-ar-sa-A with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wasmdashai/vits-ar-sa-A with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="wasmdashai/vits-ar-sa-A")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("wasmdashai/vits-ar-sa-A") model = AutoModelForPreTraining.from_pretrained("wasmdashai/vits-ar-sa-A") - Notebooks
- Google Colab
- Kaggle
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