metadata

tags:
  - code-generation
  - plantuml
  - text-to-code
  - text-generation
library_name: transformers

SysML AI: PlantUML Code Generator

This model is a fine-tuned version of [Base Model Name] (e.g., GPT-2, CodeGen, etc.) that generates PlantUML code from natural language descriptions. It can be used to create sequence diagrams, class diagrams, and other PlantUML diagrams, making it a valuable tool for software engineers, system architects, and anyone who needs to visualize system designs.

Model Description

Architecture: [Describe the base model architecture, e.g., Transformer with X layers, Y attention heads]
Fine-tuning Dataset: [Specify the dataset used for fine-tuning, including the number of examples, source, and data format]
Training Objective: [Describe the training objective, e.g., minimizing cross-entropy loss between predicted and actual PlantUML tokens]
Evaluation Metrics: [List the metrics used to evaluate the model, e.g., BLEU score, ROUGE score, or other relevant code generation metrics]

Intended Uses & Limitations

Intended Use: Generating PlantUML code from natural language descriptions to aid in system design and visualization.
Limitations:
- May not handle complex or ambiguous descriptions accurately.
- May require some manual editing of the generated code for optimal results.
- Performance may vary depending on the complexity of the desired diagram.

How to Use

Installation: