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license: mit
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tags:
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- text-generation
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This is a fine-tuned model for text generation.
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from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
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tags:
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- code-generation
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- plantuml
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- text-to-code
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- text-generation
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library_name: transformers
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# SysML AI: PlantUML Code Generator
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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.
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## Model Description
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- **Architecture:** [**Describe the base model architecture, e.g., Transformer with X layers, Y attention heads**]
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- **Fine-tuning Dataset:** [**Specify the dataset used for fine-tuning, including the number of examples, source, and data format**]
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- **Training Objective:** [**Describe the training objective, e.g., minimizing cross-entropy loss between predicted and actual PlantUML tokens**]
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- **Evaluation Metrics:** [**List the metrics used to evaluate the model, e.g., BLEU score, ROUGE score, or other relevant code generation metrics**]
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## Intended Uses & Limitations
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- **Intended Use:** Generating PlantUML code from natural language descriptions to aid in system design and visualization.
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- **Limitations:**
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- May not handle complex or ambiguous descriptions accurately.
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- May require some manual editing of the generated code for optimal results.
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- Performance may vary depending on the complexity of the desired diagram.
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## How to Use
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**Installation:**
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