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:
- ea981926e9ae51c6f142c6fa359d6becb46b325f047205d85912c7ad7a7ea636
- Size of remote file:
- 12.1 MB
- SHA256:
- 058efca33cdb0e871f3e4f46c162cf3231e709129c0a024fb83317bffccd32f0
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