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CAMeL-Lab
/
bert-base-arabic-camelbert-msa-ner

Token Classification
Transformers
PyTorch
google-tensorflow TensorFlow
Arabic
bert
Model card Files Files and versions
xet
Community
1

Instructions to use CAMeL-Lab/bert-base-arabic-camelbert-msa-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CAMeL-Lab/bert-base-arabic-camelbert-msa-ner with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="CAMeL-Lab/bert-base-arabic-camelbert-msa-ner")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-msa-ner")
    model = AutoModelForTokenClassification.from_pretrained("CAMeL-Lab/bert-base-arabic-camelbert-msa-ner")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-arabic-camelbert-msa-ner
871 MB
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  • 2 contributors
History: 8 commits
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go-inoue
Update README.md
54e2905 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    4.02 kB
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  • config.json
    980 Bytes
    Adding CAMeLBERT MSA NER model over 4 years ago
  • pytorch_model.bin
    436 MB
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  • special_tokens_map.json
    112 Bytes
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  • tf_model.h5
    434 MB
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    Adding CAMeLBERT MSA NER model over 4 years ago
  • tokenizer_config.json
    86 Bytes
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  • training_args.bin
    1.35 kB
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  • vocab.txt
    305 kB
    Adding CAMeLBERT MSA NER model over 4 years ago