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")# pip install -U transformers accelerate # 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
Download tokenizer.json from BarryFutureman/NeuTTS-Express: direct link, hf CLI and curl.
- Browser
- Download file 24.1 MB
-
https://huggingface.co/BarryFutureman/NeuTTS-Express/resolve/main/tokenizer.json
- Command line
-
hf download hf://BarryFutureman/NeuTTS-Express/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/BarryFutureman/NeuTTS-Express/resolve/main/tokenizer.json
24.1 MB
- Xet hash:
- 94e1a939047fb70978ac7c717ebd0778f433f0796858b98d6b0d74531aeaae1c
- Size of remote file:
- 24.1 MB
- SHA256:
- 74c466530bd698626a5b6a424d204711c58dfff0a6b3dd8b4dbac1e1e8c9aa87
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