Update README.md

README.md

@@ -7,9 +7,6 @@ base_model:
 - Qwen/Qwen2.5-3B-Instruct
 pipeline_tag: text-generation
 ---
-
-# Model Card for Model ID
-
 # Fine-Tuned LLM for Text-to-SQL Conversion
 
 This model is a fine-tuned version of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) designed to convert natural language queries into SQL statements. It was trained on the `gretelai/synthetic_text_to_sql` dataset and can provide both SQL queries and table schema context when needed.
@@ -44,8 +41,8 @@ To use the model for text-to-SQL conversion, you can load it using the `transfor
 ```python
 from transformers import AutoTokenizer, AutoModelForCausalLM
 
-tokenizer = AutoTokenizer.from_pretrained("your-model-id")
-model = AutoModelForCausalLM.from_pretrained("your-model-id")
+tokenizer = AutoTokenizer.from_pretrained("Ellbendls/Qwen-2.5-3b-Text_to_SQL")
+model = AutoModelForCausalLM.from_pretrained("Ellbendls/Qwen-2.5-3b-Text_to_SQL")
 
 # Input prompt
 query = "What is the total number of hospital beds in each state?"