ONNX Model Conversion Scripts

A collection of PyTorch-based models converted to the ONNX format, with ready-to-use ONNX Runtime inference scripts. All generated .onnx models stored in Hugging Face ONNX Community

This project aims to make it easier to:

• Convert PyTorch models to ONNX format

• Run efficient inference using ONNX Runtime

• Learn by example, with minimal boilerplate

📂 Project Structure

├── README.md
├── model_name_1/
│   ├── model_name_1_to_onnx_conversion_script.py  # Script to export PyTorch model to ONNX
│   ├── model_name_1_inference_script.py  # Script to run inference with ONNX Runtime
├── model_name_2/
│   ├── model_name_2_to_onnx_conversion_script.py 
│   ├── model_name_2_inference_script.py 
└── ...

🚀 Getting Started

1. Clone the repository

git clone https://github.com/<your-username>/onnx_conversion_scripts.git
cd <your-repo>

2. Install dependencies

You'll need Python 3.9+ and pip:
See dependencies and versions info in scripts respectively

📚 Supported Models

Model Name	Source	Notes	Original repo	ONNX repo
Chatterbox	resemble-ai/chatterbox-tts	Text to Speech, Speech to Speech	GitHub Link	HF Link
Chatterbox Multilingual	resemble-ai/chatterbox-tts	Text to Speech, Speech to Speech	GitHub Link	HF Link
Perth Watermarker	resemble-ai/Perth	Audio Watermarking	GitHub Link	HF Link
...	...	...	...	...

(More models coming soon!)

📜 License

This project is licensed under the MIT License

Project author: Vladislav Bronzov

Email: vladislav.bronzov@gmail.com