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Dataset Preparation for Transformers Fine-tuning

License

The Dataset Prep Transformers package simplifies the process of preparing datasets for fine-tuning or training various large language models available in the Hugging Face Transformers library. Whether you're using a model from the Hugging Face repository or have your own dataset, this package streamlines the data integration for a seamless training experience.

Features

  • Easily integrate your dataset with Hugging Face Transformers models for training or fine-tuning.
  • Specify the model repository ID and dataset from the Hugging Face library to automatically fetch and configure the data.
  • Seamlessly incorporate your custom dataset by providing it as input to the package.
  • new: custom map function => map_function = your_function (having the facility of tokenization)

Installation

You can install the package using pip:

pip install yDataPrep

Metadata

Release files for yDataPrep 0.0.1.2.1

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

Source distribution (sdist)

Source distribution for yDataPrep 0.0.1.2.1
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Built distribution (wheel)

Table of built distributions (wheels) for yDataPrep 0.0.1.2.1
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yDataPrep-0.0.1.2.1-py3-none-any.whl Python 3 none any Details

Total release size: 6.4 kB

Release files / yDataPrep-0.0.1.2.1.tar.gz

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Release files / yDataPrep-0.0.1.2.1-py3-none-any.whl

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