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. — 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 re — 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…
Модальности:
Генерация текста
Области применения:
Генерация кода
Задача: Генерация текста
Автор: MohamedIFQ
Теги: llama, code-generation, plantuml, text-to-code, text-generation-inference, endpoints_compatible
Лайков: 3 | Загрузок: 12
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
