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---
## license: apache-2.0
## 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
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