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arsen7076
/
universalNER_retrain

PEFT
llama
4-bit precision
bitsandbytes
Model card Files Files and versions
xet
Community

Instructions to use arsen7076/universalNER_retrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use arsen7076/universalNER_retrain with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("Universal-NER/UniNER-7B-all")
    model = PeftModel.from_pretrained(base_model, "arsen7076/universalNER_retrain")
  • Notebooks
  • Google Colab
  • Kaggle
universalNER_retrain
137 MB
Ctrl+K
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  • 1 contributor
History: 10 commits
arsen7076's picture
arsen7076
Rename tokenizer (1).model to tokenizer.model
f7db00b verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    436 Bytes
    Upload folder using huggingface_hub about 2 years ago
  • adapter_config.json
    449 Bytes
    Rename config.json to adapter_config.json about 2 years ago
  • adapter_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    134 MB
    xet
    Rename model.bin to adapter_model.bin about 2 years ago
  • config.json
    1.15 kB
    Create config.json about 2 years ago
  • tokenizer.json
    1.84 MB
    Upload 3 files about 2 years ago
  • tokenizer.model
    500 kB
    xet
    Rename tokenizer (1).model to tokenizer.model about 2 years ago
  • tokenizer_config.json
    984 Bytes
    Upload 3 files about 2 years ago