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YsnHdn
/
Model_PFE

Text Classification
Transformers
Safetensors
bert
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use YsnHdn/Model_PFE with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="YsnHdn/Model_PFE")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("YsnHdn/Model_PFE")
    model = AutoModelForSequenceClassification.from_pretrained("YsnHdn/Model_PFE")
  • Notebooks
  • Google Colab
  • Kaggle
Model_PFE
438 MB
Ctrl+K
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  • 1 contributor
History: 5 commits
Yassine Handane
Upload label_encoder.pkl
bc71f10 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    11 Bytes
    Upload BertForSequenceClassification about 2 years ago
  • config.json
    1.17 kB
    Upload BertForSequenceClassification about 2 years ago
  • label_encoder.pkl

    Detected Pickle imports (3)

    • "numpy.dtype",
    • "numpy.ndarray",
    • "numpy.core.multiarray._reconstruct"

    What is a pickle import?

    227 Bytes
    xet
    Upload label_encoder.pkl about 2 years ago
  • model.safetensors
    438 MB
    xet
    Upload BertForSequenceClassification about 2 years ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.24 kB
    Upload tokenizer about 2 years ago
  • vocab.txt
    232 kB
    Upload tokenizer about 2 years ago