Instructions to use kosinebolisa/igbo-tts-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kosinebolisa/igbo-tts-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="kosinebolisa/igbo-tts-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kosinebolisa/igbo-tts-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download __pycache__/handler.cpython-313.pyc from kosinebolisa/igbo-tts-model: direct link, hf CLI and curl.
- Browser
- Download file 9.22 kB
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https://huggingface.co/kosinebolisa/igbo-tts-model/resolve/main/__pycache__/handler.cpython-313.pyc
- Command line
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hf download hf://kosinebolisa/igbo-tts-model/__pycache__/handler.cpython-313.pyc
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curl -L -o handler.cpython-313.pyc https://huggingface.co/kosinebolisa/igbo-tts-model/resolve/main/__pycache__/handler.cpython-313.pyc
9.22 kB
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