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using-huggingface

Community

Connect to HuggingFace models, data, and spaces.

Data & Analytics#fine-tuning#inference#datasets#huggingface#transformers#spaces
Authorpelchers
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Streamlines ML workflows by providing seamless access to HuggingFace models, datasets, and spaces from a single integration point.

Core Features & Use Cases

  • Model integration: load and use pre-trained models from the HuggingFace Hub.
  • Dataset management: access, preprocess, and iterate on HuggingFace datasets.
  • Inference and deployment: run inferences via API or local pipelines and deploy spaces demos.
  • Fine-tuning and training: support end-to-end fine-tuning workflows on custom data.
  • Model hub search and discovery: explore models and compare capabilities.

Quick Start

Instantiate a HuggingFace pipeline (e.g., sentiment-analysis) and run it on a sample text to observe the output.

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: using-huggingface
Download link: https://github.com/pelchers/SessionSaver/archive/main.zip#using-huggingface

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