Create README.md

README.md

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+```python
+from transformers import BartTokenizer, BartForConditionalGeneration, BartConfig
+model = BartForConditionalGeneration.from_pretrained('shahrukhx01/schema-aware-denoising-bart-large-cnn')
+tokenizer = BartTokenizer.from_pretrained('shahrukhx01/schema-aware-denoising-bart-large-cnn')
+## add NL query with table schema
+question = "What is terrence ross' nationality? </s> <col0> Player : text <col1> No. : text <col2> Nationality : text <col3> Position : text <col4> Years in Toronto : text <col5>  School/Club Team : text"
+
+inputs = tokenizer([question], max_length=1024, return_tensors='pt')
+
+# Generate SQL
+text_query_ids = model.generate(inputs['input_ids'], num_beams=4, min_length=0, max_length=125, early_stopping=True)
+prediction = [tokenizer.decode(g, skip_special_tokens=True, clean_up_tokenization_spaces=False) for g in text_query_ids][0]
+print(prediction)
+```