Instructions to use mimba/speecht5-ngiemboon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mimba/speecht5-ngiemboon with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="mimba/speecht5-ngiemboon")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("mimba/speecht5-ngiemboon") model = AutoModelForTextToSpectrogram.from_pretrained("mimba/speecht5-ngiemboon") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- caa02b852ac08aea058ee635e0790b72bb7a5750049abe761572b18c46ca8ae9
- Size of remote file:
- 5.39 kB
- SHA256:
- b703a0d9fe57d41134ff25a2554a3b5c5f47884cce23a520f33cea3698654c86
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