Dl Transformer Finetune
/install dl-transformer-finetune
DL Transformer Finetune
Overview
Generate reproducible fine-tuning run plans for transformer models and downstream tasks.
Workflow
- Define base model, task type, and dataset.
- Set training hyperparameters and evaluation cadence.
- Produce run plan plus model card skeleton.
- Export configuration-ready artifacts for training pipelines.
Use Bundled Resources
- Run
scripts/build_finetune_plan.pyfor deterministic plan output. - Read
references/finetune-guide.mdfor hyperparameter baseline guidance.
Guardrails
- Keep run plans reproducible with explicit seeds and output directories.
- Include evaluation and rollback criteria.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install dl-transformer-finetune - After installation, invoke the skill by name or use
/dl-transformer-finetune - Provide required inputs per the skill's parameter spec and get structured output
What is Dl Transformer Finetune?
Build transformer fine-tuning run plans with task settings, hyperparameters, and model-card outputs. Use for repeatable Hugging Face or PyTorch finetuning wo... It is an AI Agent Skill for Claude Code / OpenClaw, with 498 downloads so far.
How do I install Dl Transformer Finetune?
Run "/install dl-transformer-finetune" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Dl Transformer Finetune free?
Yes, Dl Transformer Finetune is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Dl Transformer Finetune support?
Dl Transformer Finetune is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Dl Transformer Finetune?
It is built and maintained by Muhammad Mazhar Saeed (@0x-professor); the current version is v0.1.0.