Text-to-Speech
Transformers
Safetensors
fish_qwen3_omni
instruction-following
multilingual
quantized
fp8
comfyui
comfy
multi-turn
multi-speaker
sglang
Instructions to use fwwrsd/drbaph-s2-pro-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fwwrsd/drbaph-s2-pro-fp8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="fwwrsd/drbaph-s2-pro-fp8")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fwwrsd/drbaph-s2-pro-fp8", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 708d4c6aba8134c5fb74878b268f89f0df22f72ff1a38e0db89a159e85d4ab0f
- Size of remote file:
- 1.87 GB
- SHA256:
- 74fc41c5a7151c6f350af8bd7e5d6e3accfcc7f3dfbfac23afd35af07052bb2f
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