Update README.md

README.md

@@ -7,4 +7,23 @@ language:
 pipeline_tag: text2text-generation
 tags:
 - nl2sql
----
+---
+
+# How to Use
+
+```python
+from transformers import AutoTokenizer, BartForConditionalGeneration
+
+device = torch.device('cuda:0')
+
+tokenizer = AutoTokenizer.from_pretrained("LarkAI/bart_large_nl2sql")
+model = BartForConditionalGeneration.from_pretrained("LarkAI/bart_large_nl2sql").to(device)
+
+text = "question: which club was in toronto 2003-06 table: Player,No.,Nationality,Position,Years in Toronto,School/Club Team"
+inputs = tokenizer([text], max_length=1024, return_tensors="pt")
+output_ids = model.generate(inputs["input_ids"].to(self.device), num_beams=self.beams, max_length=128, min_length=8)
+response_text = tokenizer.batch_decode(output_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
+# select School/Club Team from product where Years in Toronto = 2003-06
+```
+
+reference: https://huggingface.co/juierror/flan-t5-text2sql-with-schema