Training And Inference

Organization

VectorSpaceLab

training-and-inference

Routes training, fine-tuning, validation, checkpoint, and inference workflows for 3D ResNets PyTorch.

Overview

Publisher	VectorSpaceLab
Repository	`AREX-Skill`
Skill name	`training-and-inference`
Stars	341
Forks	26
Bundled files	5
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by VectorSpaceLab on GitHub. Read the source before you install it.

Installation

Install the Training And Inference AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/3d-resnets-pytorch/sub-skills/training-and-inference
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/3d-resnets-pytorch/sub-skills/training-and-inference

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git /tmp/AREX-Skill
mkdir -p .claude/skills
cp -r /tmp/AREX-Skill/skills/repositories/repo-skills/3d-resnets-pytorch/sub-skills/training-and-inference .claude/skills/training-and-inference

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Training And Inference in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Training And Inference on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Training And Inference is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

training-and-inference

Use this sub-skill when you need to train, fine-tune, validate, resume, or run inference for this repository's main.py-style workflows without reopening the source checkout.

Use this route for

Fresh training runs and stage-wise fine-tuning.
Checkpoint save/resume, optimizer state recovery, and milestone handling.
Loading pretrained weights with a different final class count.
Validation, multi-clip inference, and result scoring.
DataParallel checkpoint cleanup before reuse or inspection.

Do not use this route for

Raw video extraction or annotation JSON creation. Use data-preparation.
Repo-wide routing or root skill selection. Use the root router.
Model conversion or export outside the main.py training loop.

Read first

references/workflows.md
references/model-catalog.md
references/troubleshooting.md
the root router
the root run helper
data-preparation when dataset layout is not ready

Skill-owned scripts

scripts/evaluate_results.py — score top-k recognition results against a ground-truth JSON.
scripts/strip_dataparallel.py — remove module. prefixes from checkpoint state dicts.

Typical flow

Confirm the dataset tree and annotation JSON already exist.
Pick a model family and depth from references/model-catalog.md.
Choose scratch train, resume, or fine-tune flags in references/workflows.md.
Run the root-level main.py wrapper from the repo skill tree.
Evaluate results with scripts/evaluate_results.py or clean checkpoints with scripts/strip_dataparallel.py when needed.

Cross-links

Dataset preparation and layout prerequisites: data-preparation
Repo-level routing: root router
Root main.py wrapper: run_main helper

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Training And Inference AI skill do?

Routes training, fine-tuning, validation, checkpoint, and inference workflows for 3D ResNets PyTorch.

Why use Training And Inference on TypingMind?

Because you install it once and use it with any model. Training And Inference is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Training And Inference in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/3d-resnets-pytorch/sub-skills/training-and-inference. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Training And Inference?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Training And Inference?

As many as you like. As long as a model supports skills, you can use Training And Inference with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Training And Inference AI skill free?

Yes. It is published on GitHub by VectorSpaceLab under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

training-and-inference

Use this route for

Do not use this route for

Read first

Skill-owned scripts

Typical flow

Cross-links

Bundled files

Frequently asked questions

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