Instructions to use Imxxn/AudioCourseU6-TextToSpeech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Imxxn/AudioCourseU6-TextToSpeech with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Imxxn/AudioCourseU6-TextToSpeech")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Imxxn/AudioCourseU6-TextToSpeech") model = AutoModelForTextToSpectrogram.from_pretrained("Imxxn/AudioCourseU6-TextToSpeech", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c0fdc4bbc6a79f5824010c9f9e1c28feffe76f26e0cd96861dd287276002fcb
- Size of remote file:
- 4.22 kB
- SHA256:
- fccd8a81d3426f45ac37fb7487a32926b930e27a99923eef2caa3dd51fb1960b
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