Instructions to use Beehzod/uz_2301_3.2_tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Beehzod/uz_2301_3.2_tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Beehzod/uz_2301_3.2_tts")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Beehzod/uz_2301_3.2_tts") model = AutoModelForTextToSpectrogram.from_pretrained("Beehzod/uz_2301_3.2_tts") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b58b5b6668059eb0a0dda10565e54e5a67289ebda9aa87a1c1c06bb2bb3c5a9
- Size of remote file:
- 5.5 kB
- SHA256:
- 20979fbf4c88c4fc6a7fd3b0a8988b7c2fa1b428342dc7637da234bce933f33c
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