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UmerKhan261
/
Fine-Tuned_BERT_German_Text_Classification

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
bert
Model card Files Files and versions
xet
Community
1

Instructions to use UmerKhan261/Fine-Tuned_BERT_German_Text_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use UmerKhan261/Fine-Tuned_BERT_German_Text_Classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="UmerKhan261/Fine-Tuned_BERT_German_Text_Classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("UmerKhan261/Fine-Tuned_BERT_German_Text_Classification")
    model = AutoModelForSequenceClassification.from_pretrained("UmerKhan261/Fine-Tuned_BERT_German_Text_Classification")
  • Notebooks
  • Google Colab
  • Kaggle
Fine-Tuned_BERT_German_Text_Classification
873 MB
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  • 1 contributor
History: 5 commits
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UmerKhan261
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  • .gitattributes
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  • config (1).json
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  • config.json
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  • pytorch_model.bin
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  • tf_model.h5
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