Instructions to use nineninesix/kani-tts-400m-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nineninesix/kani-tts-400m-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="nineninesix/kani-tts-400m-zh")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("nineninesix/kani-tts-400m-zh") model = AutoModelForCausalLM.from_pretrained("nineninesix/kani-tts-400m-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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pipeline_tag: text-to-speech
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library_name: transformers
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64fab67bd268b2f1ad8a826b/Ki5aExt7SmQwHYLuGyLdc.png" alt="Logo" width="200" height="200">
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pipeline_tag: text-to-speech
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library_name: transformers
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base_model:
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64fab67bd268b2f1ad8a826b/Ki5aExt7SmQwHYLuGyLdc.png" alt="Logo" width="200" height="200">
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