this contains some kind operations in it.
Project description
Dataset Preparation for Transformers Fine-tuning
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.
Installation
You can install the package using pip:
pip install d4train
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
d4train-0.0.2.1.tar.gz
(2.9 kB
view hashes)
Built Distribution
Close
Hashes for d4train-0.0.2.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | aa2f269780619153e0be51e4ef27b050cb3560bc666b6830311737203362e1d6 |
|
MD5 | c03ad0bbdffb8ac80284604b8c29b63e |
|
BLAKE2b-256 | 2d2b21f032ca75f5d54ecf26e3fe5dbdb8da784c8b094170b0aea056c04e2be0 |