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Krsna444
/
text2sql-hinglish-lora

Text Generation
PEFT
Safetensors
text-to-sql
qlora
unsloth
hinglish
conversational
Model card Files Files and versions
xet
Community

Instructions to use Krsna444/text2sql-hinglish-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Krsna444/text2sql-hinglish-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "Krsna444/text2sql-hinglish-lora")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
text2sql-hinglish-lora / checkpoints /checkpoint-400
193 MB
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  • 1 contributor
History: 1 commit
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Krsna444
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  • README.md
    5.26 kB
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  • adapter_config.json
    1.26 kB
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  • adapter_model.safetensors
    120 MB
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  • chat_template.jinja
    2.56 kB
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  • optimizer.pt
    61.4 MB
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  • rng_state.pth

    Detected Pickle imports (7)

    • "torch.ByteStorage",
    • "collections.OrderedDict",
    • "numpy.dtype",
    • "_codecs.encode",
    • "torch._utils._rebuild_tensor_v2",
    • "numpy.ndarray",
    • "numpy._core.multiarray._reconstruct"

    How to fix it?

    14.2 kB
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  • scheduler.pt
    1.06 kB
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  • tokenizer.json
    11.4 MB
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  • tokenizer_config.json
    5.1 kB
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  • trainer_state.json
    9.48 kB
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  • training_args.bin
    5.56 kB
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