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yannelli
/
d1-3b-code-review-decisions

Text Classification
Transformers
Safetensors
English
code
lfm2_vl
feature-extraction
decision-model
typed-decisions
system-one
code-review
code-quality
javascript
typescript
lfm2
liquid
lora
custom_code
Eval Results (legacy)
Eval Results
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use yannelli/d1-3b-code-review-decisions with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="yannelli/d1-3b-code-review-decisions", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModel
    
    processor = AutoProcessor.from_pretrained("yannelli/d1-3b-code-review-decisions", trust_remote_code=True)
    model = AutoModel.from_pretrained("yannelli/d1-3b-code-review-decisions", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
d1-3b-code-review-decisions / eval
1.94 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
yannelli's picture
yannelli
Rewrite the model card; link the dataset; add temperatures.json and test answers
8441f0d verified 2 days ago
  • score.txt
    1.46 kB
    Rewrite the model card; link the dataset; add temperatures.json and test answers 2 days ago
  • test-answers.jsonl
    1.94 MB
    Rewrite the model card; link the dataset; add temperatures.json and test answers 2 days ago