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MMars
/
camelbert-mix_flodusta

Text Classification
Transformers
PyTorch
Arabic
bert
Trained with AutoTrain
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use MMars/camelbert-mix_flodusta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MMars/camelbert-mix_flodusta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MMars/camelbert-mix_flodusta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MMars/camelbert-mix_flodusta")
    model = AutoModelForSequenceClassification.from_pretrained("MMars/camelbert-mix_flodusta")
  • Notebooks
  • Google Colab
  • Kaggle
camelbert-mix_flodusta
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  • 1 contributor
History: 5 commits
MMars's picture
MMars
Update README.md
06c9293 over 3 years ago
  • .gitattributes
    1.62 kB
    Commit From AutoTrain over 3 years ago
  • README.md
    1.45 kB
    Update README.md over 3 years ago
  • config.json
    930 Bytes
    Commit From AutoTrain over 3 years ago
  • pytorch_model.bin
    436 MB
    xet
    Commit From AutoTrain over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Commit From AutoTrain over 3 years ago
  • tokenizer.json
    776 kB
    xet
    Commit From AutoTrain over 3 years ago
  • tokenizer_config.json
    452 Bytes
    Commit From AutoTrain over 3 years ago
  • vocab.txt
    305 kB
    Commit From AutoTrain over 3 years ago