Instructions to use ImhotepAI/yoruba-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ImhotepAI/yoruba-tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="ImhotepAI/yoruba-tts")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("ImhotepAI/yoruba-tts") model = AutoModelForTextToSpectrogram.from_pretrained("ImhotepAI/yoruba-tts") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:655ce8c75629d87c841805a1d1aedbe6c6bcd35c10e257ad99bccdfbb8d3e329
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size 577869192
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