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SotirisLegkas
/
multi_hate

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

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

  • Libraries
  • Transformers

    How to use SotirisLegkas/multi_hate with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SotirisLegkas/multi_hate")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SotirisLegkas/multi_hate")
    model = AutoModelForSequenceClassification.from_pretrained("SotirisLegkas/multi_hate")
  • Notebooks
  • Google Colab
  • Kaggle
multi_hate
502 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
SotirisLegkas's picture
SotirisLegkas
Upload 13 files
d30010b almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • all_results.json
    806 Bytes
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  • config.json
    901 Bytes
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  • eval_results.json
    314 Bytes
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  • merges.txt
    456 kB
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  • predict_results.json
    319 Bytes
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  • pytorch_model.bin
    499 MB
    xet
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  • special_tokens_map.json
    280 Bytes
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  • tokenizer.json
    2.11 MB
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  • tokenizer_config.json
    376 Bytes
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  • train_results.json
    196 Bytes
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  • trainer_state.json
    7.76 kB
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  • training_args.bin
    3.58 kB
    xet
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  • vocab.json
    798 kB
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