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emilyseong
/
pmc_attnpool_gpu4_cumsum_spi2e-5_proj2e-5_llm2e-5

PEFT
Safetensors
llava_llama
Model card Files Files and versions
xet
Community

Instructions to use emilyseong/pmc_attnpool_gpu4_cumsum_spi2e-5_proj2e-5_llm2e-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use emilyseong/pmc_attnpool_gpu4_cumsum_spi2e-5_proj2e-5_llm2e-5 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("microsoft/llava-med-v1.5-mistral-7b")
    model = PeftModel.from_pretrained(base_model, "emilyseong/pmc_attnpool_gpu4_cumsum_spi2e-5_proj2e-5_llm2e-5")
  • Notebooks
  • Google Colab
  • Kaggle
pmc_attnpool_gpu4_cumsum_spi2e-5_proj2e-5_llm2e-5
32 GB
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  • 1 contributor
History: 2 commits
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emilyseong
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1048445 verified 11 months ago
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  • .gitattributes
    1.52 kB
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  • README.md
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  • adapter_config.json
    740 Bytes
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  • adapter_model.safetensors
    671 MB
    xet
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  • config.json
    1.59 kB
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  • non_lora_trainables.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.BFloat16Storage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    781 MB
    xet
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  • trainer_state.json
    1.7 MB
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