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:
- ab939bfbfdde24485101aa13a1a2e24c0e3b726c521815739e99780b5d0942c3
- Size of remote file:
- 12.2 MB
- SHA256:
- f24e08099d45a8adf3f52f5f0b03276e433bb9d689bb15fcbcc48ce58744588b
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