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chengyineng
/
bloom_cpu_prompt_tuning

PEFT
Model card Files Files and versions
xet
Community
1

Instructions to use chengyineng/bloom_cpu_prompt_tuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use chengyineng/bloom_cpu_prompt_tuning with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-560m")
    model = PeftModel.from_pretrained(base_model, "chengyineng/bloom_cpu_prompt_tuning")
  • Notebooks
  • Google Colab
  • Kaggle
bloom_cpu_prompt_tuning
19.2 kB
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  • 1 contributor
History: 3 commits
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Librarian Bot: Add base_model information to model
b0cbfdb over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    123 Bytes
    Librarian Bot: Add base_model information to model over 2 years ago
  • adapter_config.json
    442 Bytes
    Upload model almost 3 years ago
  • adapter_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    17.1 kB
    xet
    Upload model almost 3 years ago