Graphbook Hugging Face Plugin for no-code Hugging Face AI pipelines

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  • License: MIT License (MIT)
  • Author: Richard Franklin
  • Tags huggingface , ml , workflow , pipelines , pytorch , data science , machine learning , ai
  • Requires: Python <4.0, >=3.9
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Graphbook Hugging Face

Build No Code Hugging Face AI Pipelines

You can build efficient DAG workflows or AI pipelines without any code. This is a Graphbook plugin that lets you drag and drop Hugging Face models and datasets onto Graphbook workflows. This plugin contains a web panel for searching and drag-and-dropping models and datasets from Huggingface Hub onto their graphbook workflows.

Example Pipeline with Hugging Face

Packaged Nodes

Graphbook Hugging Face contains the following nodes:

  • TransformersPipeline step for model usage from transformers package
  • HuggingfaceDataset step for dataset usage from the datasets package
  • And numerous Post Processing/* steps for post processing of model outputs

Getting started

  1. pip install graphbook_huggingface graphbook transformers datasets
  2. graphbook --config hf.config.yaml

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  • License: MIT License (MIT)
  • Author: Richard Franklin
  • Tags huggingface , ml , workflow , pipelines , pytorch , data science , machine learning , ai
  • Requires: Python <4.0, >=3.9
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