Text-to-Speech
Transformers
Safetensors
English
parler_tts
text-generation
tts
expressive
parler-tts
voice-synthesis
multi-speaker
audio
Instructions to use voicing-ai/ParlerVoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voicing-ai/ParlerVoice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="voicing-ai/ParlerVoice")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("voicing-ai/ParlerVoice", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from voicing-ai/ParlerVoice: direct link, hf CLI and curl.
- Browser
- Download file 10.3 MB
-
https://huggingface.co/voicing-ai/ParlerVoice/resolve/main/tokenizer.json
- Command line
-
hf download hf://voicing-ai/ParlerVoice/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/voicing-ai/ParlerVoice/resolve/main/tokenizer.json
10.3 MB
File too large to display, you can check the raw version instead.