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mmetamong
/
ko-decision-roberta-large-klue

Text Classification
Transformers
Safetensors
Korean
English
roberta
korean
decision-model
system-one
typed-decisions
choice
noul
score
classification
nli
klue
kobest
relation-extraction
calibration
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use mmetamong/ko-decision-roberta-large-klue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mmetamong/ko-decision-roberta-large-klue with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mmetamong/ko-decision-roberta-large-klue")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mmetamong/ko-decision-roberta-large-klue")
    model = AutoModelForSequenceClassification.from_pretrained("mmetamong/ko-decision-roberta-large-klue", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
ko-decision-roberta-large-klue
1.35 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
mmetamong's picture
mmetamong
Card: link ko-decision-bge-m3 in the versions table
27bb808 verified 14 days ago
  • eval
    Model card: add Laya multilingual to the headline comparison 16 days ago
  • .gitattributes
    1.52 kB
    initial commit 16 days ago
  • DATA_LICENSE_CC-BY-SA-4.0.txt
    20.1 kB
    Stage-2 checkpoint: KLUE, KoBEST and typed-decisions only 16 days ago
  • DATA_NOTICE.md
    1.75 kB
    Stage-2 checkpoint: KLUE, KoBEST and typed-decisions only 16 days ago
  • README.md
    19.5 kB
    Card: link ko-decision-bge-m3 in the versions table 14 days ago
  • calibration.json
    1.13 kB
    Stage-2 checkpoint: KLUE, KoBEST and typed-decisions only 16 days ago
  • config.json
    825 Bytes
    Standard transformers format: RobertaForSequenceClassification, no custom code 16 days ago
  • files.sha256
    3.44 kB
    Model card: versions table 14 days ago
  • model.safetensors
    1.35 GB
    xet
    Standard transformers format: RobertaForSequenceClassification, no custom code 16 days ago
  • special_tokens_map.json
    971 Bytes
    Standard transformers format: RobertaForSequenceClassification, no custom code 16 days ago
  • tokenizer.json
    752 kB
    Stage-2 checkpoint: KLUE, KoBEST and typed-decisions only 16 days ago
  • tokenizer_config.json
    1.65 kB
    Standard transformers format: RobertaForSequenceClassification, no custom code 16 days ago
  • vocab.txt
    248 kB
    Standard transformers format: RobertaForSequenceClassification, no custom code 16 days ago