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jaykv
/
tally-sqlcoder-finetuned

Text Generation
PEFT
Safetensors
English
text-to-sql
sql
tally
accounting
erp
llama-3
sqlcoder
postgresql
finance
conversational
Model card Files Files and versions
xet
Community

Instructions to use jaykv/tally-sqlcoder-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use jaykv/tally-sqlcoder-finetuned with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("defog/llama-3-sqlcoder-8b")
    model = PeftModel.from_pretrained(base_model, "jaykv/tally-sqlcoder-finetuned")
  • Notebooks
  • Google Colab
  • Kaggle
tally-sqlcoder-finetuned
177 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
jaykv's picture
jaykv
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  • .gitattributes
    1.52 kB
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  • README.md
    8.49 kB
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  • adapter_config.json
    728 Bytes
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  • adapter_model.safetensors
    168 MB
    xet
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  • special_tokens_map.json
    325 Bytes
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  • tokenizer.json
    9.09 MB
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  • tokenizer_config.json
    51 kB
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  • training_args.bin
    5.46 kB
    xet
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