--- 
## license: apache-2.0

![KIDDEE](https://media.discordapp.net/attachments/1226897965927497818/1235837202945151016/KIDDEE-Logoo.png?ex=6635d295&is=66348115&hm=8ea3f9706dcdc7b459919d03d5bdb59c06912425efcff8f3979efa93c9e7549e&=&format=webp&quality=lossless&width=437&height=437)

## Datasets:
  - AIAT/Kiddee-data1234
  - https://huggingface.co/AIAT/Kiddee-data1234
    
## language:
  - th
  - en
## metrics:
  - accuracy 0.53 
  - response time 2.440
    
## pipeline_tag: 
  - table-question-answering

## tags:
- OpenthaiGPT-13b
- LLMModel

# Large Language Model (LLM) README

## Overview
This repository contains the implementation and resources for a Large Language Model (LLM) based on [OpenAI's GPT](https://openai.com/gpt) architecture. The model is trained on a diverse corpus of text data and can generate human-like text given a prompt.

## Features
- **Text Generation**: The LLM can generate coherent and contextually relevant text given a prompt.
- **Fine-tuning**: This repository provides scripts and resources for fine-tuning the model on specific tasks or domains.
- **API Integration**: Instructions and resources for integrating the LLM into applications through APIs.

## Installation
To use the LLM, follow these steps:
1. Clone this repository: `git clone [repository-url]`
2. Install the required dependencies: `pip install -r requirements.txt`
3. Download the pre-trained model weights from [link] and place them in the `models` directory.

## Usage
### Generating Text
To generate text using the pre-trained model, run:

  
library_name: adapter-transformers
---