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jxtse
/
ClinAge-9B

Text Classification
PEFT
Safetensors
English
biological-age
aging
mortality
survival-analysis
clinical-prediction
regression
knowledge-distillation
lora
qwen3.5
Model card Files Files and versions
xet
Community

Instructions to use jxtse/ClinAge-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use jxtse/ClinAge-9B with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSequenceClassification
    
    base_model = AutoModelForSequenceClassification.from_pretrained("Qwen/Qwen3.5-9B")
    model = PeftModel.from_pretrained(base_model, "jxtse/ClinAge-9B")
  • Notebooks
  • Google Colab
  • Kaggle
ClinAge-9B
253 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
jxtse's picture
jxtse
Rewrite model card
b38ccd7 verified 8 days ago
  • .gitattributes
    1.57 kB
    Upload reviewed ClinAge-9B final step-25373 regression adapter 8 days ago
  • README.md
    15.5 kB
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  • SHA256SUMS
    592 Bytes
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  • adapter_config.json
    1.11 kB
    Upload reviewed ClinAge-9B final step-25373 regression adapter 8 days ago
  • adapter_model.safetensors
    233 MB
    xet
    Upload reviewed ClinAge-9B final step-25373 regression adapter 8 days ago
  • run_config.json
    846 Bytes
    Upload reviewed ClinAge-9B final step-25373 regression adapter 8 days ago
  • tokenizer.json
    20 MB
    xet
    Upload reviewed ClinAge-9B final step-25373 regression adapter 8 days ago
  • tokenizer_config.json
    1.1 kB
    Upload reviewed ClinAge-9B final step-25373 regression adapter 8 days ago
  • variable_panels.json
    21.6 kB
    Upload reviewed ClinAge-9B final step-25373 regression adapter 8 days ago