Text Generation with Hugging Face Transformers

This Python script utilizes the Hugging Face Transformers library to generate text using a pre-trained language model. It reads input text from a file, generates additional text based on the input, and prints the generated text to the console. This README provides information on how to use, configure, and contribute to the project.

Table of Contents

• About
• Getting Started
  • Prerequisites
  • Installation
• Usage
• Configuration
• Contributing
• License
• Acknowledgments

About

This script demonstrates how to use the Hugging Face Transformers library to perform text generation tasks. It leverages a pre-trained model to generate text based on a given input text. The project includes configuration options and the ability to measure execution time.

Getting Started

Follow these instructions to get started with the project.

Prerequisites

Before running the code, ensure you have the following prerequisites:

• Conda (used miniconda for this project)
• Python 3.7 or higher (here used 3.10
• PyTorch
• Transformers library

Installation

1. Create conda environment

conda create -n stablecode python=3.10

2. Activate conda environment

conda activate stablecode

3. Install dependencies:

pip install requirements.txt

4. Clone the repository:

git clone https://github.com/xkiiyoshiix/StableCode.git

5. Change to the project directory:

cd StableCode

Usage

In the instruction file you need to add your instruction under the "Instruction" part

Run the code

python main.py

Example output from the example in "instructions.txt"

### Instruction
Convert this code from python to c#:
print("Hello World!")

### Response
using System;

namespace HelloWorld
{
    class Program
    {
        static void Main(string[] args)
        {
            Console.WriteLine("Hello World!");
        }
    }
}

Total Execution Time: 64.48 seconds

Configuration

The script includes the following configuration options:

debug: Set this variable to True to enable debug mode, which displays the execution time. You can also configure the maximum number of tokens generated (max_new_tokens) and the temperature for text generation in the generate_text function.

Contributing

Contributions to this project are welcome. To contribute, follow these steps:

1. Fork the repository on GitHub.
2. Clone your forked repository to your local machine.
3. Create a new branch for your feature or bug fix.
4. Make your changes and commit them.
5. Push your changes to your fork on GitHub.
6. Create a pull request to the original repository.

Please follow the project's code of conduct and contribution guidelines when contributing.

Acknowledgments

This project utilizes the Hugging Face Transformers library for text generation. Acknowledgments to the creators of the library and its contributors.

Final Words

If you like my project, you are welcome to support me with donations or stars.