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mehmet582025
/
arap_qa_bert

Question Answering
Transformers
PyTorch
Arabic
bert
Model card Files Files and versions
xet
Community
1

Instructions to use mehmet582025/arap_qa_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mehmet582025/arap_qa_bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="mehmet582025/arap_qa_bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("mehmet582025/arap_qa_bert")
    model = AutoModelForQuestionAnswering.from_pretrained("mehmet582025/arap_qa_bert", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
arap_qa_bert
432 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
mehmet582025's picture
mehmet582025
Update README.md
7c21e72 almost 5 years ago
  • .gitattributes
    737 Bytes
    initial commit almost 5 years ago
  • README.md
    590 Bytes
    Update README.md almost 5 years ago
  • config.json
    692 Bytes
    Update config.json almost 5 years ago
  • pytorch_model.bin
    431 MB
    xet
    add model almost 5 years ago
  • special_tokens_map.json
    112 Bytes
    add tokenizer almost 5 years ago
  • tokenizer.json
    436 kB
    add tokenizer almost 5 years ago
  • tokenizer_config.json
    531 Bytes
    Update tokenizer_config.json almost 5 years ago
  • vocab.txt
    213 kB
    add tokenizer almost 5 years ago