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ennp
/
bert-turkish-text-classification-cased

Text Classification
Transformers
PyTorch
Turkish
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use ennp/bert-turkish-text-classification-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ennp/bert-turkish-text-classification-cased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ennp/bert-turkish-text-classification-cased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ennp/bert-turkish-text-classification-cased")
    model = AutoModelForSequenceClassification.from_pretrained("ennp/bert-turkish-text-classification-cased")
  • Notebooks
  • Google Colab
  • Kaggle
bert-turkish-text-classification-cased
1.48 GB
Ctrl+K
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  • 1 contributor
History: 8 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
83f9372 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README (1).md
    893 Bytes
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  • README.md
    941 Bytes
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  • config.json
    940 Bytes
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  • model.safetensors
    737 MB
    xet
    Adding `safetensors` variant of this model about 3 years ago
  • model_args.json
    2.67 kB
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  • pytorch_model.bin
    737 MB
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  • requirements.txt
    68 Bytes
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  • scheduler.pt

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    627 Bytes
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    3.24 MB
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  • tokenizer_config.json
    380 Bytes
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