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transformers-huggingface

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Load, fine-tune, and run transformer models.

Software Engineering#fine-tuning#nlp#pytorch#tensorflow#inference#huggingface#transformers
Authorlucifertrj
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill enables loading, fine-tuning, and inference of pre-trained transformer models using the Hugging Face transformers library, consolidating common NLP workflows into a single, reusable unit.

Core Features & Use Cases

  • Pipeline-powered quick tasks: Use Hugging Face pipelines for rapid text-classification, text-generation, or QA without deep customization.
  • Manual model control: Load AutoTokenizer and AutoModel classes for fine-grained preprocessing, forward passes, and custom training loops.
  • Fine-tuning on custom data: Prepare datasets with datasets library and train with Trainer for task-specific adapters.
  • Inference & deployment guidance: Run inference, convert outputs, and prepare models for deployment in apps.

Quick Start

Load a pretrained transformer model and run a quick inference on your text to see results.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: transformers-huggingface
Download link: https://github.com/lucifertrj/skills-based-app/archive/main.zip#transformers-huggingface

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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