semvec/pypi-packages huggingface dataset:
d4train 0.0.2.2
prepare your dataset for finetuning LLMs

# Dataset Preparation for Transformers Fine-tuning


[![License](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)

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:

```bash
pip install d4train
readee 0.0.136
Library for export webpage to reader mode html.
Requires Python: >=3.0

# readee

Library for export webpage to reader mode html.

## usage

```
import readee
beautiful_soup_html = readee.export(url = webpage_url)
```

optional args:
- content: raw webpage, will skip url fetching
- list_replace: will replace list, usually for telegraph export

## how to install

`pip3 install readee`