Update README.md
Browse files
README.md
CHANGED
@@ -1,28 +1,31 @@
|
|
1 |
---
|
2 |
-
license: mit
|
3 |
-
---
|
4 |
-
---
|
5 |
tags:
|
|
|
|
|
|
|
6 |
- text-generation
|
|
|
7 |
---
|
8 |
|
9 |
-
#
|
10 |
-
|
11 |
-
This is a fine-tuned model for text generation.
|
12 |
|
13 |
-
|
14 |
|
15 |
-
|
16 |
-
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
|
17 |
|
18 |
-
|
19 |
-
|
20 |
-
|
|
|
21 |
|
22 |
-
|
23 |
|
24 |
-
|
25 |
-
|
26 |
-
|
|
|
|
|
27 |
|
|
|
28 |
|
|
|
|
1 |
---
|
|
|
|
|
|
|
2 |
tags:
|
3 |
+
- code-generation
|
4 |
+
- plantuml
|
5 |
+
- text-to-code
|
6 |
- text-generation
|
7 |
+
library_name: transformers
|
8 |
---
|
9 |
|
10 |
+
# SysML AI: PlantUML Code Generator
|
|
|
|
|
11 |
|
12 |
+
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.
|
13 |
|
14 |
+
## Model Description
|
|
|
15 |
|
16 |
+
- **Architecture:** [**Describe the base model architecture, e.g., Transformer with X layers, Y attention heads**]
|
17 |
+
- **Fine-tuning Dataset:** [**Specify the dataset used for fine-tuning, including the number of examples, source, and data format**]
|
18 |
+
- **Training Objective:** [**Describe the training objective, e.g., minimizing cross-entropy loss between predicted and actual PlantUML tokens**]
|
19 |
+
- **Evaluation Metrics:** [**List the metrics used to evaluate the model, e.g., BLEU score, ROUGE score, or other relevant code generation metrics**]
|
20 |
|
21 |
+
## Intended Uses & Limitations
|
22 |
|
23 |
+
- **Intended Use:** Generating PlantUML code from natural language descriptions to aid in system design and visualization.
|
24 |
+
- **Limitations:**
|
25 |
+
- May not handle complex or ambiguous descriptions accurately.
|
26 |
+
- May require some manual editing of the generated code for optimal results.
|
27 |
+
- Performance may vary depending on the complexity of the desired diagram.
|
28 |
|
29 |
+
## How to Use
|
30 |
|
31 |
+
**Installation:**
|