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