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Ebtihal
/
ArBERTMo

Fill-Mask
Transformers
google-tensorflow TensorFlow
camembert
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Ebtihal/ArBERTMo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Ebtihal/ArBERTMo")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Ebtihal/ArBERTMo")
    model = AutoModelForMaskedLM.from_pretrained("Ebtihal/ArBERTMo")
  • Notebooks
  • Google Colab
  • Kaggle
ArBERTMo
545 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
3v324v23's picture
3v324v23
add tokenizer
07d5c1d almost 5 years ago
  • .gitattributes
    690 Bytes
    initial commit almost 5 years ago
  • New-file.txt
    19 Bytes
    Add file. almost 5 years ago
  • README.md
    29 Bytes
    Create README.md almost 5 years ago
  • config.json
    677 Bytes
    add model almost 5 years ago
  • sentencepiece.bpe.model
    811 kB
    xet
    add tokenizer almost 5 years ago
  • special_tokens_map.json
    299 Bytes
    add tokenizer almost 5 years ago
  • tf_model.h5
    543 MB
    xet
    add model almost 5 years ago
  • tokenizer.json
    1.39 MB
    add tokenizer almost 5 years ago
  • tokenizer_config.json
    455 Bytes
    add tokenizer almost 5 years ago