Update README.md

README.md

@@ -1,3 +1,38 @@
 ---
 license: apache-2.0
+language:
+- en
+pipeline_tag: text2text-generation
 ---
+
+A text2sql T5 model, finetuned from Flan-t5-base. finetune code: [Link](https://github.com/kevinng77/chat-table-t5/blob/master/prompt.py)
+
+## Inference Example:
+
+
+```python
+from transformers import T5Tokenizer, T5ForConditionalGeneration, pipeline
+
+table_columns = "Transaction_ID, Platform, Product_ID, User_ID, Transaction_Amount, Region, Transaction_Time, Transaction_Unit, User_Comments"
+
+table_name = "my_data"
+
+PROMPT_INPUT = f"""
+Given a SQL table named '{table_name}' with the following columns:
+{table_columns}
+
+Construct a SQL query to answer the following question:
+Q: {{question}}.
+"""
+
+model_id = "kevinng77/chat-table-flan-t5"
+tokenizer = T5Tokenizer.from_pretrained(model_id)
+model = T5ForConditionalGeneration.from_pretrained(model_id)
+
+input_text = PROMPT_INPUT.format_map({"question": "How many rows are there in the table?"})
+
+pipe = pipeline(
+    "text2text-generation",
+    model=model, tokenizer=tokenizer, max_length=512
+)
+```