Instructions to use JavoxirAI/tts_turkish_datasets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JavoxirAI/tts_turkish_datasets with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="JavoxirAI/tts_turkish_datasets")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("JavoxirAI/tts_turkish_datasets") model = AutoModelForTextToSpectrogram.from_pretrained("JavoxirAI/tts_turkish_datasets", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 026b2a03e85270b3b5ed5fc29b80a9ee2b5ce1bcd416ee5f08f89225ddb260b2
- Size of remote file:
- 5.46 kB
- SHA256:
- e54bcf2d97091f995e8d641e09a83103f5c54c371c68f640f72cf310a8eb1c4a
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