SQLCreator

SQLCreator

Model Overview

This model is designed to generate SQL queries based on input prompts. It is based on GPT-2 and trained with custom datasets.

Usage

To use this model, follow these steps:

1. Install the necessary libraries:

   pip install transformers
   

2. Load the model and tokenizer:

   from transformers import AutoModelForCausalLM, AutoTokenizer
   
   model_name = “Kasivs/SQLCreator"
   tokenizer = AutoTokenizer.from_pretrained(model_name)
   model = AutoModelForCausalLM.from_pretrained(model_name)
   
   # Example usage
   inputs = tokenizer("SELECT * FROM users WHERE", return_tensors="pt")
   outputs = model.generate(inputs["input_ids"])
   print(tokenizer.decode(outputs[0]))
   

Training

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License

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Citation

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Contact

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