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AMR-KELEG
/
NADI2024-baseline

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

Instructions to use AMR-KELEG/NADI2024-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AMR-KELEG/NADI2024-baseline with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="AMR-KELEG/NADI2024-baseline")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("AMR-KELEG/NADI2024-baseline")
    model = AutoModelForSequenceClassification.from_pretrained("AMR-KELEG/NADI2024-baseline")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
NADI2024-baseline
655 MB
Ctrl+K
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  • 1 contributor
History: 16 commits
AMR-KELEG's picture
AMR-KELEG
Update README.md
65b3d25 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.16 kB
    Update README.md almost 2 years ago
  • config.json
    1.63 kB
    Update config.json about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    651 MB
    xet
    Upload BertForSequenceClassification about 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    2.69 MB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    394 Bytes
    Upload tokenizer about 2 years ago
  • vocab.txt
    1.1 MB
    Upload tokenizer about 2 years ago