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kiritps
/
Advanced-resume-screening

PEFT
Safetensors
resume-screening
hr-tech
llama2
lora
fine-tuned
Model card Files Files and versions
xet
Community
1

Instructions to use kiritps/Advanced-resume-screening with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use kiritps/Advanced-resume-screening with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf")
    model = PeftModel.from_pretrained(base_model, "kiritps/Advanced-resume-screening")
  • Notebooks
  • Google Colab
  • Kaggle
Advanced-resume-screening
4.34 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
kiritps's picture
kiritps
Update README.md
3ae40a6 verified 10 months ago
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  • .gitattributes
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  • README.md
    4.63 kB
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  • adapter_config.json
    596 Bytes
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  • adapter_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    320 MB
    xet
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  • special_tokens_map.json
    461 Bytes
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  • tokenizer.json
    1.84 MB
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  • tokenizer.model
    500 kB
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  • tokenizer_config.json
    908 Bytes
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