# Load model directly
from transformers import AutoModelForSeq2SeqLM
model = AutoModelForSeq2SeqLM.from_pretrained("forkjoin-ai/qwen3-tts-12hz-1.7b-customvoice", dtype="auto")Quick Links
Qwen3 Tts 12Hz 1.7B Customvoice (SafeTensors)
SafeTensors mirror of Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice for distributed edge inference — powered by the Aether runtime on Edgework.ai.
Model Details
| Property | Value |
|---|---|
| Base model | Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice |
| Format | SafeTensors |
| Weight files | 2 shard(s) *.safetensors |
| License | apache-2.0 |
Usage
These are SafeTensors weights — load them with the model's native framework (e.g. transformers / diffusers), not llama.cpp.
huggingface-cli download forkjoin-ai/qwen3-tts-12hz-1.7b-customvoice --local-dir ./qwen3-tts-12hz-1.7b-customvoice
About
Published by AFFECTIVELY · Managed by @buley. Mirrored for distributed edge inference via the Aether runtime.
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Model tree for forkjoin-ai/qwen3-tts-12hz-1.7b-customvoice
Base model
Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="forkjoin-ai/qwen3-tts-12hz-1.7b-customvoice")