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karim23657/chatterbox-persian-onnx
chatterbox-persian-onnx is a machine learning model from karim23657. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Fully controllable Gradio Space for the Persian Chatterbox T3 fine-tune.
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Updated Aug 19, 2026
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From the Hugging Face model README
Fully controllable Gradio Space for the Persian Chatterbox T3 fine-tune.
The Space contains:
app.py — Gradio UI and inference controller;models/persian_onnx/ — Persian ONNX graphs and external weights;src/inference_onnx.py — reusable ONNX Runtime engine;src/convert_to_onnx.py — reproducible conversion code;src/verify_onnx.py — structural and smoke verification;guideline.md — complete conversion and inference guide.The UI exposes text, reference voice, INT8/FP32 model choice, exaggeration, CFG, temperature, top-p, min-p, repetition penalty, minimum/maximum speech tokens, seed, CPU thread count, forced CPU, and greedy diagnostic mode. Every result includes a JSON timing report.
The bundled default voice is used when no reference recording is supplied. For best voice cloning, upload a clean mono recording of 3–10 seconds.
The Persian checkpoint is reported as CC-BY-NC-4.0. Review the Persian model card and all base-model terms before publishing or using the Space commercially. The model is intended for legitimate, consent-based voice cloning only.
From the original repository root:
export HF_TOKEN=hf_...
python chatter_fa/upload_to_hf.py \
--target space \
--repo-id YOUR_USER/chatterbox-persian-onnx \
--include-demo
The upload script excludes caches, reference.wav, and unrelated generated
experiments. The model files are large and use Hugging Face storage/LFS.