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hamzabouajila
/
distilled_tunbert

Fill-Mask
Transformers
Safetensors
Arabic
distilbert
tunisian-arabic
nlp
bert
distillation
low-resource
open-source
sentiment-analysis
language-model
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use hamzabouajila/distilled_tunbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="hamzabouajila/distilled_tunbert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("hamzabouajila/distilled_tunbert")
    model = AutoModelForMaskedLM.from_pretrained("hamzabouajila/distilled_tunbert")
  • Notebooks
  • Google Colab
  • Kaggle
distilled_tunbert
269 MB
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  • 1 contributor
History: 4 commits
hamzabouajila's picture
hamzabouajila
Update README.md
22a5547 verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    6.15 kB
    Update README.md 8 months ago
  • config.json
    506 Bytes
    Push checkpoint from epoch 0 9 months ago
  • model.safetensors
    268 MB
    xet
    Push checkpoint from epoch 0 9 months ago
  • special_tokens_map.json
    695 Bytes
    Push tokenizer from epoch 0 9 months ago
  • tokenizer.json
    711 kB
    Push tokenizer from epoch 0 9 months ago
  • tokenizer_config.json
    1.22 kB
    Push tokenizer from epoch 0 9 months ago
  • vocab.txt
    232 kB
    Push tokenizer from epoch 0 9 months ago