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ringorsolya
/
GuiltRoBERTa-hu

Text Classification
Transformers
Safetensors
Hungarian
xlm-roberta
hungarian
guilt-assignment
political-communication
two-stage-model
emotion-filtering
babel-emotions
research
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use ringorsolya/GuiltRoBERTa-hu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ringorsolya/GuiltRoBERTa-hu with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ringorsolya/GuiltRoBERTa-hu")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ringorsolya/GuiltRoBERTa-hu")
    model = AutoModelForSequenceClassification.from_pretrained("ringorsolya/GuiltRoBERTa-hu", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
GuiltRoBERTa-hu
3.35 GB
Ctrl+K
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  • 1 contributor
History: 7 commits
ringorsolya's picture
ringorsolya
Update README.md
ec24d12 verified 10 months ago
  • best_xlm_roberta_model
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  • .gitattributes
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  • README.md
    4.36 kB
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  • config.json
    731 Bytes
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  • guiltbert_train_v3.xlsx
    240 kB
    xet
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  • guiltbert_train_v4.xlsx
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  • model.safetensors
    1.11 GB
    xet
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  • sentencepiece.bpe.model
    5.07 MB
    xet
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  • special_tokens_map.json
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  • tokenizer_config.json
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