---
library_name: transformers
tags: []
---

### Model Description

CodeGen-Mono 350M Fine-Tuned for Phaser.js
This model is a fine-tuned version of the CodeGen-Mono 350M, specifically optimized for generating Phaser.js code based on user prompts. 
Phaser.js is a popular 2D game framework used for creating web-based games, and this model aims to assist developers by generating relevant 
game code snippets, enhancing productivity and creativity.


- **Developed by:** Toontech Ltd.
- **Funded by:** Toontech Ltd.
- **Language(s) (NLP):** English
- **Finetuned from model:**  CodeGen (CodeGen-Mono 350M)

**Model Overview**

Base Model: CodeGen-Mono 350M
Training Data: Fine-tuned on a custom dataset of Phaser.js code examples, covering various aspects like User Input Handling, 
Audio Management, Text Display, Tilemap Handling, Scene Management, Camera Controls, and Particles and Effects.

**Purpose:** To generate Phaser.js code snippets based on natural language prompts, helping developers to quickly prototype and implement game 
features.

**Key Features**
User-Friendly: Accepts plain English prompts and translates them into functional Phaser.js code.
Versatile: Capable of handling a variety of game development tasks, from simple input handling to complex scene management.
Optimized for Game Development: Specifically fine-tuned on a wide range of Phaser.js use cases to provide accurate and efficient code 
generation.

**Use Cases**
Game Development Prototyping: Quickly generate code snippets to prototype game mechanics and features.
Learning Tool: A valuable resource for beginners learning Phaser.js, providing examples and code structure.
Coding Assistance: Acts as an intelligent code assistant for experienced developers, helping to reduce development time and improve 
workflow.

**How to Use**
You can use this model with the Hugging Face transformers library or integrate it into your custom applications using the provided API. 
Here’s a basic example:

from transformers import pipeline

codegen_pipeline = pipeline("text2text-generation", model="your-huggingface-username/CodeGen-Mono-350M-Phaser")

prompt = "Create a Phaser.js code snippet to move a sprite with arrow keys."
response = codegen_pipeline(prompt)

print(response[0]['generated_text'])

**Model Limitations**
Phaser.js Specific: The model is specialized for Phaser.js and may not generalize well to other frameworks or coding languages.
Code Quality: Generated code might require additional refinement and testing for edge cases.

**Future Work**
Planned improvements include expanding the training dataset, incorporating more advanced game development scenarios, and enhancing model 
accuracy and usability.

**Feedback and Contributions**
Your feedback is invaluable! If you encounter any issues or have suggestions, please feel free to open an issue or contribute directly to 
the repository.