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xtie
/
LLaMA-LoRA-PET-impression

Summarization
Transformers
English
medical
Model card Files Files and versions
xet
Community

Instructions to use xtie/LLaMA-LoRA-PET-impression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use xtie/LLaMA-LoRA-PET-impression with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="xtie/LLaMA-LoRA-PET-impression")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("xtie/LLaMA-LoRA-PET-impression", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LLaMA-LoRA-PET-impression
8.44 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
xtie's picture
xtie
Upload trainer_state.json
1849521 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    136 Bytes
    Create README.md over 2 years ago
  • adapter_config.json
    329 Bytes
    Initial commit over 2 years ago
  • adapter_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    8.43 MB
    xet
    Initial commit over 2 years ago
  • generation_config.json
    132 Bytes
    Initial commit over 2 years ago
  • trainer_state.json
    4.93 kB
    Upload trainer_state.json over 2 years ago