Hugging Face Transformers for loading Hub models, running pipeline inference, text generation, and Trainer fine-tuning on NLP, vision, audio, and multimodal tasks. Use when working with AutoModel, pipelines, tokenizer…
---
name: transformers
description: Hugging Face Transformers for loading Hub models, running pipeline inference, text generation, and Trainer fine-tuning on NLP, vision, audio, and multimodal tasks. Use when working with AutoModel, pipelines, tokenizers, or TrainingArguments—not for general ML outside the Transformers library.
allowed-tools: Read Write Edit Bash
license: Apache-2.0 license
compatibility: Requires Python 3.10+, PyTorch 2.4+, and transformers 5.x. Gated or private Hub models need an HF token (`hf auth login` or `HF_TOKEN`).
metadata:
version: "1.2"
skill-author: "K-Dense Inc."
---
# 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
Tested against **transformers 5.12.0** (current PyPI release; June 2026). Requires **Python 3.10+**; the `torch` extra currently requires **PyTorch 2.4+**.
```bash
uv pip install "transformers[torch]==5.12.0" huggingface_hub==1.19.0 datasets==5.0.0 evaluate==0.4.6 accelerate==1.14.0
```
… load the full skill through Skill Me