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--- |
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license: apache-2.0 |
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datasets: |
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- wikisql |
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language: |
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- en |
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pipeline_tag: text2text-generation |
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tags: |
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- nl2sql |
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widget: |
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- text: "question: get people name with age less 25 table: id, name, age" |
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example_title: "less than" |
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- text: "question: get people name with age equal 25 table: id, name, age" |
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example_title: "equal" |
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--- |
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new version: LarkAI/codet5p-770m_nl2sql_oig |
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use oig-sql dataset and support more complex sql parse |
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# How to Use |
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```python |
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from transformers import AutoTokenizer, BartForConditionalGeneration |
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device = torch.device('cuda:0') |
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tokenizer = AutoTokenizer.from_pretrained("LarkAI/bart_large_nl2sql") |
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model = BartForConditionalGeneration.from_pretrained("LarkAI/bart_large_nl2sql").to(device) |
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text = "question: get people name with age less 25 table: id, name, age" |
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inputs = tokenizer([text], max_length=1024, return_tensors="pt") |
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output_ids = model.generate(inputs["input_ids"].to(self.device), num_beams=self.beams, max_length=128, min_length=8) |
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response_text = tokenizer.batch_decode(output_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0] |
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# SELECT name FROM table WHERE age < 25 |
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``` |
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reference: [juierror/flan-t5-text2sql-with-schema](https://huggingface.co/juierror/flan-t5-text2sql-with-schema) - fix this [discussion](https://huggingface.co/juierror/flan-t5-text2sql-with-schema/discussions/5) |
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# How to Train |
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Quick start: https://github.com/huggingface/transformers/blob/main/examples/pytorch/summarization/README.md |
