·transformers

Loading and using pretrained models with Hugging Face Transformers. Use when working with pretrained models from the Hub, running inference with Pipeline API, fine-tuning models with Trainer, or handling text, vision, audio, and multimodal tasks.

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Installation

$npx skills add https://github.com/itsmostafa/llm-engineering-skills --skill transformers

SKILL.md

Transformers is the model-definition framework for state-of-the-art machine learning across text, vision, audio, and multimodal domains. It provides unified APIs for loading pretrained models, running inference, and fine-tuning.

All loading uses frompretrained() which handles downloading, caching, and device placement:

The pipeline() function provides high-level inference with minimal code:

Loading and using pretrained models with Hugging Face Transformers. Use when working with pretrained models from the Hub, running inference with Pipeline API, fine-tuning models with Trainer, or handling text, vision, audio, and multimodal tasks. Source: itsmostafa/llm-engineering-skills.

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Install command
npx skills add https://github.com/itsmostafa/llm-engineering-skills --skill transformers
Category
</>Dev Tools
Verified
First Seen
2026-02-11
Updated
2026-02-18

Quick answers

What is transformers?

Loading and using pretrained models with Hugging Face Transformers. Use when working with pretrained models from the Hub, running inference with Pipeline API, fine-tuning models with Trainer, or handling text, vision, audio, and multimodal tasks. Source: itsmostafa/llm-engineering-skills.

How do I install transformers?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/itsmostafa/llm-engineering-skills --skill transformers Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/itsmostafa/llm-engineering-skills

Details

Category
</>Dev Tools
Source
user
First Seen
2026-02-11