Instructions to use Futuremannn/NeuTTS-Express with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Futuremannn/NeuTTS-Express with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Futuremannn/NeuTTS-Express")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Futuremannn/NeuTTS-Express") model = AutoModelForCausalLM.from_pretrained("Futuremannn/NeuTTS-Express", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Barry Futureman commited on
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README.md
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end_time = time.time()
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sf.write("output.wav", wav, 24000)
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end_time = time.time()
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sf.write("output.wav", wav, 24000)
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Higher `temperature`, `top-p`, `top-k` is recommended.
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