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TheMohanad1
/
marbert-arabic-sentiment-analyzer

Text Classification
Transformers
Safetensors
Arabic
bert
sentiment-analysis
arabic
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use TheMohanad1/marbert-arabic-sentiment-analyzer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TheMohanad1/marbert-arabic-sentiment-analyzer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="TheMohanad1/marbert-arabic-sentiment-analyzer")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("TheMohanad1/marbert-arabic-sentiment-analyzer")
    model = AutoModelForSequenceClassification.from_pretrained("TheMohanad1/marbert-arabic-sentiment-analyzer")
  • Notebooks
  • Google Colab
  • Kaggle
marbert-arabic-sentiment-analyzer
656 MB
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  • 1 contributor
History: 2 commits
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TheMohanad1
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  • .gitattributes
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  • README.md
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  • config.json
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  • confusion_matrix.png
    174 kB
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  • error_analysis.json
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  • evaluation_report.txt
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  • final_report.md
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  • model.safetensors
    651 MB
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  • performance_metrics.png
    118 kB
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  • special_tokens_map.json
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  • test_examples.json
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  • tokenizer.json
    2.69 MB
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  • tokenizer_config.json
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  • training_args.bin
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  • training_info.json
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  • vocab.txt
    1.1 MB
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