Text-to-Speech
Transformers
Safetensors
fish_qwen3_omni
instruction-following
multilingual
quantized
fp8
comfyui
comfy
multi-turn
multi-speaker
sglang
Instructions to use Benjonson/s2-pro-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Benjonson/s2-pro-fp8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Benjonson/s2-pro-fp8")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Benjonson/s2-pro-fp8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Benjonson/s2-pro-fp8: direct link, hf CLI and curl.
- Browser
- Download file 861 kB
-
https://huggingface.co/Benjonson/s2-pro-fp8/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://Benjonson/s2-pro-fp8/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Benjonson/s2-pro-fp8/resolve/main/tokenizer_config.json
861 kB
File too large to display, you can check the raw version instead.