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Laplaces-Red-Devils
/
vihallu-qwen3-4b-softprompt

Text Classification
PEFT
Safetensors
Vietnamese
soft-prompt
prompt-tuning
hallucination-detection
vietnamese
ViHallu
Model card Files Files and versions
xet
Community

Instructions to use Laplaces-Red-Devils/vihallu-qwen3-4b-softprompt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Laplaces-Red-Devils/vihallu-qwen3-4b-softprompt with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B-Instruct-2507")
    model = PeftModel.from_pretrained(base_model, "Laplaces-Red-Devils/vihallu-qwen3-4b-softprompt")
  • Notebooks
  • Google Colab
  • Kaggle
vihallu-qwen3-4b-softprompt
11.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
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vio-let-ter
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  • .gitattributes
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  • README.md
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  • adapter_config.json
    536 Bytes
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  • adapter_model.safetensors
    328 kB
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  • chat_template.jinja
    2.63 kB
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  • confusion_matrix.png
    34.2 kB
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  • metrics.json
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  • params.json
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  • tokenizer.json
    11.4 MB
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  • tokenizer_config.json
    695 Bytes
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