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DexopT
/
BERTURK

Text Classification
Transformers
Safetensors
PyTorch
Turkish
bert
sentiment-analysis
turkish
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use DexopT/BERTURK with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="DexopT/BERTURK")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("DexopT/BERTURK")
    model = AutoModelForSequenceClassification.from_pretrained("DexopT/BERTURK")
  • Notebooks
  • Google Colab
  • Kaggle
BERTURK
443 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 6 commits
DexopT's picture
DexopT
Update README.md
26138cb verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    4.47 kB
    Update README.md about 2 months ago
  • config.json
    859 Bytes
    Upload 5 files about 2 months ago
  • model.safetensors
    442 MB
    xet
    Upload 5 files about 2 months ago
  • tokenizer.json
    755 kB
    Upload 5 files about 2 months ago
  • tokenizer_config.json
    341 Bytes
    Upload 5 files about 2 months ago