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manuelaschrittwieser
/
Qwen2.5-SQL-Assistant-Prod

Text Generation
PEFT
TensorBoard
Safetensors
English
German
text-to-sql
qwen
qwen2.5
lora
qlora
Generated from Trainer
code-generation
conversational
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use manuelaschrittwieser/Qwen2.5-SQL-Assistant-Prod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use manuelaschrittwieser/Qwen2.5-SQL-Assistant-Prod with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct")
    model = PeftModel.from_pretrained(base_model, "manuelaschrittwieser/Qwen2.5-SQL-Assistant-Prod")
  • Notebooks
  • Google Colab
  • Kaggle
Qwen2.5-SQL-Assistant-Prod
254 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
manuelaschrittwieser's picture
manuelaschrittwieser
Update README.md
1cc6e9e verified 5 months ago
  • checkpoint-63
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  • runs
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  • .gitattributes
    1.64 kB
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  • README.md
    5.71 kB
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  • adapter_config.json
    1.06 kB
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  • adapter_model.safetensors
    37 MB
    xet
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  • added_tokens.json
    605 Bytes
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  • chat_template.jinja
    2.51 kB
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  • merges.txt
    1.67 MB
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  • special_tokens_map.json
    496 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    4.68 kB
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  • vocab.json
    2.78 MB
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