trainer
The Trainer automates training workflows after organizing PyTorch code into a LightningModule. It handles loop details, device management, callbacks, gradient operations, checkpointing, and distributed training automatically.
- Skills
- Scientific
- 3
What it does and how to use it
A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.
- Install the skill (command above).
- In Claude Code, describe what you need - the skill turns on by itself when the context fits.
- No commands to memorize: you talk in plain language and the skill does the rest.
Install (Claude Code)
mkdir -p .claude/skills/trainer && curl -fsSL https://doutorai.pt/data/lib/skills__trainer.md -o .claude/skills/trainer/SKILL.mdPaste this command into the terminal, in your project folder, and the component installs automatically.
Content
# Trainer - Comprehensive Guide
## Overview
The Trainer automates training workflows after organizing PyTorch code into a LightningModule. It handles loop details, device management, callbacks, gradient operations, checkpointing, and distributed training automatically.
## Core Purpose
The Trainer manages:
- Automatically enabling/disabling gradients
- Running training, validation, and test dataloaders
- Calling callbacks at appropriate times
- Placing batches on correct devices
- Orchestrating distributed training
- Progress bars and logging
- Checkpointing and early stopping
## Main Meth
- 🔒 Full content on the Pro plan (€7.99/month) -Need help with Claude Code?
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