launch-experiment
OfficialSimplify and automate training setup for FastVideo models.
Authorhao-ai-lab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the process of generating complex training commands for FastVideo models, reducing manual configuration errors and saving setup time.
Core Features & Use Cases
- Automated Command Generation: Constructs complete
torchruncommands tailored to specified training pipelines, models, and datasets. - Configuration Management: Resolves default hyperparameters from relevant example scripts, ensuring consistent training setups.
- Use Case: A researcher wants to quickly launch a 4-GPU finetuning job with customized learning rate and steps without manually assembling command-line arguments.
Quick Start
Provide the pipeline type, model variant, dataset path, GPU count, and optional overrides to generate the training command automatically.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: launch-experiment Download link: https://github.com/hao-ai-lab/FastVideo/archive/main.zip#launch-experiment Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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