Instructions to use Edmon02/TTS_NB_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edmon02/TTS_NB_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Edmon02/TTS_NB_2")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Edmon02/TTS_NB_2") model = AutoModelForTextToSpectrogram.from_pretrained("Edmon02/TTS_NB_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4e9066c80ea86a45144519c9c4230229109fb23cef197b8f0ab19597b165c0f
- Size of remote file:
- 5.3 kB
- SHA256:
- 91f9dae93d978f79f065dc68966b7755d61cf021d822a9a566b707e3702fe266
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