Individual skill
transformers
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
backend/cli/skills/llm-tools/transformers/SKILL.md
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- Last checked
- Nov 2, 2026
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- 4,353
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
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- agent Repository topic
- ai Repository topic
- bun Repository topic
- cli Repository topic
- llm Repository topic
- ml Repository topic
- open-source Repository topic
- research Repository topic
- science Repository topic
- ai-agent Repository topic
- nlp Declared skill tag
- deep-learning Declared skill tag
- hugging-face Declared skill tag
- llm Declared skill tag
- fine-tuning Declared skill tag
- education Derived category
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# Transformers
## Overview
The Hugging Face Transformers library provides access to thousands of pre-trained models for tasks across NLP, computer vision, audio, and multimodal domains. Use this skill to load models, perform inference, and fine-tune on custom data.
## Installation
Install transformers and core dependencies:
```bash
uv pip install torch transformers datasets evaluate accelerate
```