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yj512
/
deberta-korean-multilabel_base-lora

PEFT
Safetensors
Transformers
lora
Model card Files Files and versions
xet
Community

Instructions to use yj512/deberta-korean-multilabel_base-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use yj512/deberta-korean-multilabel_base-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSequenceClassification
    
    base_model = AutoModelForSequenceClassification.from_pretrained("team-lucid/deberta-v3-base-korean")
    model = PeftModel.from_pretrained(base_model, "yj512/deberta-korean-multilabel_base-lora")
  • Transformers

    How to use yj512/deberta-korean-multilabel_base-lora with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("yj512/deberta-korean-multilabel_base-lora", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-korean-multilabel_base-lora
24.6 MB
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  • 1 contributor
History: 4 commits
yj512's picture
yj512
Model save
a4570c2 verified 7 months ago
  • best
    Model save 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    1.71 kB
    Model save 7 months ago
  • adapter_config.json
    1.05 kB
    Training in progress, epoch 1 7 months ago
  • adapter_model.safetensors
    10.8 MB
    xet
    Training in progress, epoch 2 7 months ago
  • special_tokens_map.json
    971 Bytes
    Training in progress, epoch 1 7 months ago
  • tokenizer.json
    1.53 MB
    Training in progress, epoch 1 7 months ago
  • tokenizer_config.json
    1.27 kB
    Training in progress, epoch 1 7 months ago
  • training_args.bin
    5.91 kB
    xet
    Training in progress, epoch 1 7 months ago