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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pipeline_tag: text-to-speech
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library_name: transformers
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pipeline_tag: text-to-speech
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library_name: transformers
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---
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# NeuTTS Express
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- Compact model size (0.5B)
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- Emotional and paralinguistic controls via \(tags\)
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- Supports streaming for low latency usecases
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- Instant voice cloning
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Supported tags: `(neutral)`, `(happy)`, `(sad)`, `(angry)`, `(surprised)`, `(disgusted)`, `(fearful)`, `(giggle)`, `(gasp)`, `(exhale)`, `(laugh)`, `(chuckle)`, `(sign)`
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