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yannelli
/
d1-3b-cli-command-risk

Text Classification
Transformers
Safetensors
English
lfm2_vl
feature-extraction
decision-model
typed-decisions
system-one
shell
guardrail
command-risk
lfm2
liquid
lora
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use yannelli/d1-3b-cli-command-risk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yannelli/d1-3b-cli-command-risk with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="yannelli/d1-3b-cli-command-risk", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("yannelli/d1-3b-cli-command-risk", trust_remote_code=True)
    model = AutoModel.from_pretrained("yannelli/d1-3b-cli-command-risk", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
d1-3b-cli-command-risk / training
47.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
yannelli's picture
yannelli
Fine-tuned checkpoint and model card
e1e980e verified 4 days ago
  • build_cli_decisions.py
    5.87 kB
    Fine-tuned checkpoint and model card 4 days ago
  • calibrate.py
    3.17 kB
    Fine-tuned checkpoint and model card 4 days ago
  • common.py
    4.19 kB
    Fine-tuned checkpoint and model card 4 days ago
  • liquid_d1.py
    15.9 kB
    Fine-tuned checkpoint and model card 4 days ago
  • score_cli_decisions.py
    13.6 kB
    Fine-tuned checkpoint and model card 4 days ago
  • score_cli_risk.py
    5.03 kB
    Fine-tuned checkpoint and model card 4 days ago