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hossamamer12
/
MB2_1090C

Text Classification
Transformers
PyTorch
mobilebert
Model card Files Files and versions
xet
Community
1

Instructions to use hossamamer12/MB2_1090C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use hossamamer12/MB2_1090C with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="hossamamer12/MB2_1090C")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("hossamamer12/MB2_1090C")
    model = AutoModelForSequenceClassification.from_pretrained("hossamamer12/MB2_1090C")
  • Notebooks
  • Google Colab
  • Kaggle
MB2_1090C
13 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
hossamamer12's picture
hossamamer12
Upload tokenizer
a247c8e verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • config.json
    51.2 kB
    Upload MobileBertForSequenceClassification about 2 years ago
  • pytorch_model.bin
    12.9 MB
    xet
    Upload MobileBertForSequenceClassification about 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    45.1 kB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    431 Bytes
    Upload tokenizer about 2 years ago
  • vocab.txt
    13.3 kB
    Upload tokenizer about 2 years ago