onnx-export
OfficialConvert ML models to ONNX format with Hope:RE pipeline
AuthorHopeArtOrg
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps users convert JAX/Python machine learning models to ONNX format, enabling them to be used in various environments that require ONNX compatibility.
Core Features & Use Cases
- ONNX Conversion: Converts JAX/Python ML models to ONNX format, ensuring compatibility with different deployment environments.
- Pipeline Automation: Automates the process of converting models through a series of predefined notebooks in Google Colab.
- Use Case: Ideal for data scientists and ML engineers looking to deploy their models in environments that only support ONNX-compatible models.
Quick Start
Run the onnx-export skill to initiate the conversion process of your ML model into ONNX format following the Hope:RE pipeline.
Dependency Matrix
Required Modules
jaxjaxlibjax2onnxonnxonnxsimonnxruntimetransformerstorchnumpy
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: onnx-export Download link: https://github.com/HopeArtOrg/hope-re/archive/main.zip#onnx-export Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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