onnx-export

Official

Convert 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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