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ayatallah
/
DarijaMind-Evaluative

Text Classification
Transformers
Arabic
Moroccan Arabic
darija
emotion-recognition
mental-health
nlp
bert
Model card Files Files and versions
xet
Community

Instructions to use ayatallah/DarijaMind-Evaluative with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ayatallah/DarijaMind-Evaluative with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ayatallah/DarijaMind-Evaluative")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ayatallah/DarijaMind-Evaluative", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
DarijaMind-Evaluative
856 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
ayatallah's picture
ayatallah
Upload 7 files
54f338e verified 30 days ago
  • .gitattributes
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  • README.md
    2.64 kB
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  • ablation_results.json
    861 Bytes
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  • best_model.pt

    Detected Pickle imports (6)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict",
    • "numpy._core.multiarray.scalar",
    • "numpy.dtype",
    • "_codecs.encode"

    How to fix it?

    856 MB
    xet
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  • confusion_matrix_emotion.png
    203 kB
    xet
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  • confusion_matrix_level.png
    120 kB
    xet
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  • final_results.json
    410 Bytes
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  • training_history.json
    1.45 kB
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  • training_history.png
    433 kB
    xet
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