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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

Metadata

Release files for graphbook_huggingface 0.0.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for graphbook_huggingface 0.0.6
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graphbook_huggingface-0.0.6.tar.gz 18.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for graphbook_huggingface 0.0.6
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graphbook_huggingface-0.0.6-py3-none-any.whl Python 3 none any Details

Total release size: 39.5 kB

Release files / graphbook_huggingface-0.0.6.tar.gz

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0.0.6 This release

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