Instructions to use DebeshSahoo/text2sql-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DebeshSahoo/text2sql-finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DebeshSahoo/text2sql-finetune")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DebeshSahoo/text2sql-finetune") model = AutoModelForSeq2SeqLM.from_pretrained("DebeshSahoo/text2sql-finetune") - Notebooks
- Google Colab
- Kaggle
Debesh Sahoo commited on
Commit ·
4f704f4
1
Parent(s): e36d291
fine tune text to sql
Browse files
README.md
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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# Load the tokenizer
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print("model result:", inference(dataset["test"][test_id]["question"], dataset["test"][test_id]["table"]["header"]))
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print("real result:", dataset["test"][test_id]["sql"]["human_readable"])
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inference("what is id with name jui and age equal 25", ["id","name", "age"])
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---
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datasets:
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- wikisql
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metrics:
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- accuracy
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pipeline_tag: text-classification
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tags:
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- code
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---
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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# Load the tokenizer
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print("model result:", inference(dataset["test"][test_id]["question"], dataset["test"][test_id]["table"]["header"]))
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print("real result:", dataset["test"][test_id]["sql"]["human_readable"])
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inference("what is id with name jui and age equal 25", ["id","name", "age"])
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