| | --- |
| | 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. |
