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prasanthg3
/
text-to-sql-qwen-finetuned

Text Generation
PEFT
Safetensors
English
text-to-sql
lora
qlora
trl
sft
qwen3
conversational
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use prasanthg3/text-to-sql-qwen-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use prasanthg3/text-to-sql-qwen-finetuned with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("./Qwen_model")
    model = PeftModel.from_pretrained(base_model, "prasanthg3/text-to-sql-qwen-finetuned")
  • Notebooks
  • Google Colab
  • Kaggle
text-to-sql-qwen-finetuned
85.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
prasanthg3's picture
prasanthg3
Rewrite model card with accurate base model, training details, and real eval results
00f1715 verified 6 days ago
  • .gitattributes
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  • README.md
    7.46 kB
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  • adapter_config.json
    965 Bytes
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  • adapter_model.safetensors
    69.8 MB
    xet
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  • added_tokens.json
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  • chat_template.jinja
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  • merges.txt
    1.67 MB
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  • model_card.json
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  • special_tokens_map.json
    644 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    5.64 kB
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  • training_args.bin
    5.52 kB
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  • vocab.json
    2.78 MB
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