Skip to content
TrustedSkillsbeta
Back to all skills

Torchscript Exporter

Listed
jeremylongshore·vlatest·ai-ml·MIT

Converts PyTorch models to TorchScript for optimized performance and deployment across various environments – crucial for production use.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jeremylongshore/tons-of-skills-marketplace --skill torchscript-exporter -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jeremylongshore

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows you to export PyTorch models into TorchScript format. TorchScript is a subset of Python that can be serialized and executed without needing the full Python interpreter, enabling deployment in environments with limited resources or improved performance. This facilitates model optimization and portability across different platforms.

When to use it

  • Deploying models to mobile devices: TorchScript enables running PyTorch models on iOS and Android without a Python runtime.
  • Optimizing inference speed: TorchScript allows for ahead-of-time compilation, potentially leading to faster model execution.
  • Creating standalone applications: Package your PyTorch model into an application that doesn't require the user to have Python installed.
  • Sharing models with users who don’t use Python: Distribute a precompiled TorchScript version of your model for easy integration.

Key capabilities

  • Exports PyTorch models to TorchScript format.
  • Supports various PyTorch model architectures.
  • Facilitates model optimization and portability.

Example prompts

  • "Export this PyTorch model named 'my_model' to TorchScript."
  • "Convert the current Python script containing a neural network into TorchScript."
  • “Generate a TorchScript file for my image classification model.”

Tips & gotchas

  • Ensure your PyTorch model is compatible with TorchScript. Not all dynamic operations are supported, requiring potential modifications to the model definition.