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prognosis
/
medicalcode-finetune-lora-v4

PEFT
Model card Files Files and versions
xet
Community

Instructions to use prognosis/medicalcode-finetune-lora-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use prognosis/medicalcode-finetune-lora-v4 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("medicalcode-prefinetune-v3")
    model = PeftModel.from_pretrained(base_model, "prognosis/medicalcode-finetune-lora-v4")
  • Notebooks
  • Google Colab
  • Kaggle
medicalcode-finetune-lora-v4
16.9 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
NajiAboo's picture
NajiAboo
Upload 10 files
d8fd756 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    101 Bytes
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  • adapter_config.json
    449 Bytes
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  • adapter_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    16.8 MB
    xet
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  • all_results.json
    166 Bytes
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  • finetuning_args.json
    313 Bytes
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  • train_results.json
    166 Bytes
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  • trainer_log.jsonl
    3.95 kB
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  • trainer_state.json
    2.48 kB
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  • training_args.bin
    3.33 kB
    xet
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  • training_loss.png
    39.6 kB
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