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jonghhhh
/
message_ethicality_model

Text Classification
Transformers
PyTorch
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use jonghhhh/message_ethicality_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jonghhhh/message_ethicality_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jonghhhh/message_ethicality_model")
    model = AutoModelForSequenceClassification.from_pretrained("jonghhhh/message_ethicality_model")
  • Notebooks
  • Google Colab
  • Kaggle
message_ethicality_model
504 MB
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  • 1 contributor
History: 4 commits
jonghhhh's picture
jonghhhh
Rename pytorch_model (1).bin to pytorch_model.bin
d5af313 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • config.json
    1.13 kB
    Upload 7 files almost 2 years ago
  • merges.txt
    967 kB
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  • pytorch_model.bin
    499 MB
    xet
    Rename pytorch_model (1).bin to pytorch_model.bin almost 2 years ago
  • requirements.txt
    64 Bytes
    Upload 7 files almost 2 years ago
  • special_tokens_map.json
    294 Bytes
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  • tokenizer.json
    3.13 MB
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  • tokenizer_config.json
    394 Bytes
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  • vocab.json
    1.31 MB
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  • 모델학습평가결과.txt
    2.11 kB
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  • 학습데이터 정보.txt
    1.95 kB
    Upload 3 files almost 2 years ago