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Alice0914
/
gemma4-e2b-scam-sentinel

Text Generation
PEFT
Safetensors
English
gemma-4
unsloth
qlora
lora
scam-detection
safety
text-classification
function-calling
conversational
Model card Files Files and versions
xet
Community

Instructions to use Alice0914/gemma4-e2b-scam-sentinel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use Alice0914/gemma4-e2b-scam-sentinel with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-4-E2B-it-unsloth-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "Alice0914/gemma4-e2b-scam-sentinel")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Studio

    How to use Alice0914/gemma4-e2b-scam-sentinel with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for Alice0914/gemma4-e2b-scam-sentinel to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for Alice0914/gemma4-e2b-scam-sentinel to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for Alice0914/gemma4-e2b-scam-sentinel to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="Alice0914/gemma4-e2b-scam-sentinel",
        max_seq_length=2048,
    )
gemma4-e2b-scam-sentinel
737 MB
Ctrl+K
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  • 1 contributor
History: 10 commits
Alice0914's picture
Alice0914
Update README.md
d7765fe verified 30 days ago
  • checkpoints
    Scam Sentinel LoRA adapter β€” F1 86.1% / FPR 1.1% about 1 month ago
  • smoke
    Scam Sentinel LoRA adapter β€” F1 86.1% / FPR 1.1% about 1 month ago
  • .gitattributes
    1.8 kB
    Scam Sentinel LoRA adapter β€” F1 86.1% / FPR 1.1% about 1 month ago
  • README.md
    10.2 kB
    Update README.md 30 days ago
  • adapter_config.json
    1.67 kB
    Scam Sentinel LoRA adapter β€” F1 86.1% / FPR 1.1% about 1 month ago
  • adapter_model.safetensors
    115 MB
    xet
    Scam Sentinel LoRA adapter β€” F1 86.1% / FPR 1.1% about 1 month ago
  • chat_template.jinja
    16.8 kB
    Scam Sentinel LoRA adapter β€” F1 86.1% / FPR 1.1% about 1 month ago
  • processor_config.json
    1.69 kB
    Scam Sentinel LoRA adapter β€” F1 86.1% / FPR 1.1% about 1 month ago
  • tokenizer.json
    32.2 MB
    xet
    Scam Sentinel LoRA adapter β€” F1 86.1% / FPR 1.1% about 1 month ago
  • tokenizer_config.json
    6.89 kB
    Scam Sentinel LoRA adapter β€” F1 86.1% / FPR 1.1% about 1 month ago