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oddadmix
/
Nawah-BERT-6M-v2

Fill-Mask
Transformers
Safetensors
Arabic
bert
arabic
masked-lm
encoder
nawah
tiny
Model card Files Files and versions
xet
Community

Instructions to use oddadmix/Nawah-BERT-6M-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use oddadmix/Nawah-BERT-6M-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="oddadmix/Nawah-BERT-6M-v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("oddadmix/Nawah-BERT-6M-v2")
    model = AutoModelForMaskedLM.from_pretrained("oddadmix/Nawah-BERT-6M-v2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Nawah-BERT-6M-v2
27 MB
Ctrl+K
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  • 1 contributor
History: 8 commits
oddadmix's picture
oddadmix
Remove link to the internal v1 repo; keep the comparison in prose
9992bf2 verified 6 days ago
  • .gitattributes
    1.52 kB
    initial commit 6 days ago
  • README.md
    3.01 kB
    Remove link to the internal v1 repo; keep the comparison in prose 6 days ago
  • config.json
    669 Bytes
    add config.json 6 days ago
  • model.safetensors
    24 MB
    xet
    add model.safetensors 6 days ago
  • tokenizer.json
    3.03 MB
    add tokenizer.json 6 days ago
  • tokenizer_config.json
    268 Bytes
    add tokenizer_config.json 6 days ago
  • training_args.bin
    5.27 kB
    xet
    add training_args.bin 6 days ago