Update README.md

README.md

@@ -37,13 +37,6 @@ pipeline_tag: table-question-answering
 
 The Tubular Question Answering Large Language Model is based on OpenThaiGPT and fine-tuned for converting natural language questions into SQL queries. It learns to map the nuances of Thai language to SQL structures, enabling efficient retrieval of information from databases.
 
-```python
->>> model2_path ="AIAT/The_Scamper-opt70bqt"
->>> tokenizer = AutoTokenizer.from_pretrained(model2_path, padding_side="right",use_fast=False)
->>> model = AutoModelForCausalLM.from_pretrained(model2_path,
-                                             device_map="auto")
-```
-
 
 
 ### Recommendations
@@ -56,7 +49,12 @@ The Tubular Question Answering Large Language Model is based on OpenThaiGPT and
 
 Use the code below to get started with the model.
 
-[More Information Needed]
+```python
+>>> model2_path ="AIAT/The_Scamper-opt70bqt"
+>>> tokenizer = AutoTokenizer.from_pretrained(model2_path, padding_side="right",use_fast=False)
+>>> model = AutoModelForCausalLM.from_pretrained(model2_path,
+                                             device_map="auto")
+```
 
 ## Training Details