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--- |
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library_name: transformers |
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tags: [] |
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--- |
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### Model Description |
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CodeGen-Mono 350M Fine-Tuned for Phaser.js |
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This model is a fine-tuned version of the CodeGen-Mono 350M, specifically optimized for generating Phaser.js code based on user prompts. |
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Phaser.js is a popular 2D game framework used for creating web-based games, and this model aims to assist developers by generating relevant |
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game code snippets, enhancing productivity and creativity. |
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- **Developed by:** Toontech Ltd. |
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- **Funded by:** Toontech Ltd. |
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- **Language(s) (NLP):** English |
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- **Finetuned from model:** CodeGen (CodeGen-Mono 350M) |
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**Model Overview** |
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Base Model: CodeGen-Mono 350M |
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Training Data: Fine-tuned on a custom dataset of Phaser.js code examples, covering various aspects like User Input Handling, |
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Audio Management, Text Display, Tilemap Handling, Scene Management, Camera Controls, and Particles and Effects. |
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**Purpose:** To generate Phaser.js code snippets based on natural language prompts, helping developers to quickly prototype and implement game |
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features. |
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**Key Features** |
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User-Friendly: Accepts plain English prompts and translates them into functional Phaser.js code. |
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Versatile: Capable of handling a variety of game development tasks, from simple input handling to complex scene management. |
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Optimized for Game Development: Specifically fine-tuned on a wide range of Phaser.js use cases to provide accurate and efficient code |
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generation. |
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**Use Cases** |
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Game Development Prototyping: Quickly generate code snippets to prototype game mechanics and features. |
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Learning Tool: A valuable resource for beginners learning Phaser.js, providing examples and code structure. |
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Coding Assistance: Acts as an intelligent code assistant for experienced developers, helping to reduce development time and improve |
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workflow. |
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**How to Use** |
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You can use this model with the Hugging Face transformers library or integrate it into your custom applications using the provided API. |
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Here’s a basic example: |
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from transformers import pipeline |
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codegen_pipeline = pipeline("text2text-generation", model="your-huggingface-username/CodeGen-Mono-350M-Phaser") |
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prompt = "Create a Phaser.js code snippet to move a sprite with arrow keys." |
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response = codegen_pipeline(prompt) |
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print(response[0]['generated_text']) |
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**Model Limitations** |
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Phaser.js Specific: The model is specialized for Phaser.js and may not generalize well to other frameworks or coding languages. |
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Code Quality: Generated code might require additional refinement and testing for edge cases. |
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**Future Work** |
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Planned improvements include expanding the training dataset, incorporating more advanced game development scenarios, and enhancing model |
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accuracy and usability. |
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**Feedback and Contributions** |
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Your feedback is invaluable! If you encounter any issues or have suggestions, please feel free to open an issue or contribute directly to |
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the repository. |
