Refactored the README (#7)

- Refactored the README (a3749a70dec690474b5bd3b4e657a0863983ecc3)

README.md

@@ -12,4 +12,66 @@ tags:
 language:
 - en
 pipeline_tag: text2text-generation
----
+---
+
+# 🛢💬 Querypls-Prompt2SQL
+
+## Overview
+
+Querypls-Prompt2SQL is a 💬 text-to-SQL generation model developed by [samadpls](https://github.com/samadpls). It is designed for generating SQL queries based on user prompts.
+
+## Model Details
+
+- **License:** Apache-2.0
+- **Datasets:**
+  - [samadpls/querypls-prompt2sql-dataset](https://huggingface.co/datasets/samadpls/querypls-prompt2sql-dataset)
+  - [b-mc2/sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context)
+- **Tags:**
+  - stabilityai/StableBeluga-7B
+  - langchain
+  - opensource
+  - stabilityai
+  - SatbleBeluga-7B
+- **Language(s):** English
+- **Pipeline Tag:** Text2Text Generation
+
+## Model Usage
+
+To get started with the model in Python, you can use the following code:
+
+```python
+from transformers import pipeline, AutoTokenizer
+
+question = "how to get all employees from table0"
+prompt = f'Your task is to create SQL query of the following {question}, just SQL query and no text'
+
+tokenizer = AutoTokenizer.from_pretrained("samadpls/querypls-prompt2sql")
+pipe = pipeline(task='text-generation', model="samadpls/querypls-prompt2sql", tokenizer=tokenizer, max_length=200)
+
+result = pipe(prompt)
+print(result[0]['generated_text'])
+```
+
+Adjust the `question` variable with the desired question, and the generated SQL query will be printed.
+
+## Training Details
+
+The model was trained on Google Colab, and its purpose is to be used in the [Querypls](https://github.com/samadpls/Querypls) project with the following training and validation loss progression:
+
+```yaml
+Copy code
+Step     Training Loss    Validation Loss
+943      2.332100         2.652054
+1886     2.895300         2.551685
+2829     2.427800         2.498556
+3772     2.019600         2.472013
+4715     3.391200         2.465390
+```
+`However, note that the model may be too large to load in certain environments.`
+
+For more information and details, please refer to the provided [documentation](https://huggingface.co/stabilityai/StableBeluga-7B).
+
+
+## Model Card Authors
+
+- 🤖 [samadpls](https://github.com/samadpls)