Instructions to use BarryFutureman/NeuTTS-Express with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BarryFutureman/NeuTTS-Express with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="BarryFutureman/NeuTTS-Express")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("BarryFutureman/NeuTTS-Express") model = AutoModelForCausalLM.from_pretrained("BarryFutureman/NeuTTS-Express", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 029db8b778f8cc3c2fd4c2deaf6121e2aea91676ea91ba7520de0363b4d56823
- Size of remote file:
- 5.84 kB
- SHA256:
- ebd0dff545f5ff6fa6fd846e69f31d1a213dad7797a9deff4788c8220ec5fe32
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