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_config.json from BarryFutureman/NeuTTS-Express: direct link, hf CLI and curl.
- Browser
- Download file 12.1 MB
-
https://huggingface.co/BarryFutureman/NeuTTS-Express/resolve/3b711a6e074fca9a3df9a8c265abbb7ae3492710/tokenizer_config.json
- Command line
-
hf download hf://BarryFutureman/NeuTTS-Express@3b711a6e074fca9a3df9a8c265abbb7ae3492710/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/BarryFutureman/NeuTTS-Express/resolve/3b711a6e074fca9a3df9a8c265abbb7ae3492710/tokenizer_config.json
12.1 MB
- Xet hash:
- ea981926e9ae51c6f142c6fa359d6becb46b325f047205d85912c7ad7a7ea636
- Size of remote file:
- 12.1 MB
- SHA256:
- 058efca33cdb0e871f3e4f46c162cf3231e709129c0a024fb83317bffccd32f0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.