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Update README.md
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README.md
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@@ -29,6 +29,8 @@ This model is intended for the automatic generation of SQL queries from descript
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This model can be used with the Hugging Face Transformers library. Here is a quick example:
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("ansumanpandey/codgen-finetuned-SQLQueryGeneration")
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@@ -42,4 +44,6 @@ def get_sql(query):
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attention_mask=features['attention_mask'],
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max_new_tokens=70)
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sql_query= tokenizer.decode(output[0])
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return sql_query
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This model can be used with the Hugging Face Transformers library. Here is a quick example:
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from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("ansumanpandey/codgen-finetuned-SQLQueryGeneration")
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attention_mask=features['attention_mask'],
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max_new_tokens=70)
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sql_query= tokenizer.decode(output[0])
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return sql_query
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