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SinaLab
/
ArabGlossBERT

Text Classification
Transformers
PyTorch
Arabic
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

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

  • Libraries
  • Transformers

    How to use SinaLab/ArabGlossBERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SinaLab/ArabGlossBERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SinaLab/ArabGlossBERT")
    model = AutoModelForSequenceClassification.from_pretrained("SinaLab/ArabGlossBERT")
  • Notebooks
  • Google Colab
  • Kaggle
ArabGlossBERT / bert-base-arabertv02
547 MB
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  • 2 contributors
History: 1 commit
TymaaHammouda's picture
TymaaHammouda
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94d6150 verified over 2 years ago
  • .gitattributes
    345 Bytes
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  • config.json
    384 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    543 MB
    xet
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  • special_tokens_map.json
    112 Bytes
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  • tokenizer.json
    2.64 MB
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  • tokenizer_config.json
    381 Bytes
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  • vocab.txt
    761 kB
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