Distribute ONNX models via Git LFS and GitHub Releases for Hope:RE.
npx skills add https://github.com/HopeArtOrg/hope-re --skill model-distribution
Please help me install this Agent Skill. Skill: model-distribution Source: https://github.com/HopeArtOrg/hope-re/tree/main/.gemini/skills/model-distribution Command: npx skills add https://github.com/HopeArtOrg/hope-re --skill model-distribution
This Skill addresses the challenges of distributing ONNX models for use in the Hope:RE application, ensuring seamless integration and efficient model management.
Use the model-distribution skill to download the noise algorithm model into your app data directory with the command 'download_model "noise_algorithm.onnx"'
High-intent search queries and answers about installing and using this skill.
Configuring Git LFS to track ONNX files and setting up GitHub Actions workflows automate model uploads and release management for runtime access. This approach streamlines version control and deployment within the application ecosystem.
To download an ONNX model at runtime, execute the 'download_model' command with the target filename, fetching the file directly into your application data directory for immediate use in image processing tasks.
Git LFS is required to track ONNX models, handling large file storage efficiently to prevent repository bloat and ensure proper version control during developer export and publishing workflows.
The GitHub Actions workflow automates ONNX model release management by handling uploads to GitHub Releases, ensuring published models are correctly versioned and accessible for runtime downloading in the application.
This ONNX model distribution workflow targets developers and users working with machine learning models and image processing tools, facilitating seamless integration and efficient model management within the Hope:RE ecosystem.
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