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faisalq
/
bert-base-arabic-senpiece

Feature Extraction
Transformers
PyTorch
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use faisalq/bert-base-arabic-senpiece with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use faisalq/bert-base-arabic-senpiece with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="faisalq/bert-base-arabic-senpiece")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("faisalq/bert-base-arabic-senpiece")
    model = AutoModel.from_pretrained("faisalq/bert-base-arabic-senpiece")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-arabic-senpiece
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  • 1 contributor
History: 3 commits
faisalq's picture
faisalq
Upload 4 files
5cc43fe over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    28 Bytes
    initial commit over 2 years ago
  • config.json
    620 Bytes
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  • generation_config.json
    90 Bytes
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  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    497 MB
    xet
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  • special_tokens_map.json
    286 Bytes
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  • tokenizer.json
    3.69 MB
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  • tokenizer_config.json
    495 Bytes
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