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.
Installation
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.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/itsmostafa/llm-engineering-skills --skill transformers- Category
- </>Dev Tools
- Verified
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- 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