Update quick-start snippet to reference renamed repo

README.md

@@ -1,7 +1,7 @@
 ---
 base_model: deepseek-ai/deepseek-coder-7b-instruct-v1.5
 library_name: peft
-model_name: deepseek-coder-7b-instruct-sql-create-context-lora
+model_name: deepseek-coder-7b-text2sql-magicoder-lora
 tags:
 - base_model:adapter:deepseek-ai/deepseek-coder-7b-instruct-v1.5
 - lora
@@ -17,7 +17,7 @@ datasets:
 - ise-uiuc/Magicoder-OSS-Instruct-75K
 ---
 
-# Model Card for deepseek-coder-7b-instruct-sql-create-context-lora
+# Model Card for deepseek-coder-7b-text2sql-magicoder-lora
 
 LoRA adapter fine-tuned from [deepseek-ai/deepseek-coder-7b-instruct-v1.5](https://huggingface.co/deepseek-ai/deepseek-coder-7b-instruct-v1.5) for text-to-SQL generation, trained with [TRL](https://github.com/huggingface/trl) SFTTrainer.
 
@@ -94,7 +94,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 from peft import PeftModel
 
 base_model_id = "deepseek-ai/deepseek-coder-7b-instruct-v1.5"
-adapter_id = "albertkingdom/deepseek-coder-7b-instruct-sql-create-context-lora"
+adapter_id = "albertkingdom/deepseek-coder-7b-text2sql-magicoder-lora"
 
 model = AutoModelForCausalLM.from_pretrained(base_model_id, device_map="auto")
 tokenizer = AutoTokenizer.from_pretrained(base_model_id)