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Hartunka
/
bert_base_km_20_v1_qnli

Text Classification
Transformers
TensorBoard
Safetensors
English
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Hartunka/bert_base_km_20_v1_qnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hartunka/bert_base_km_20_v1_qnli with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Hartunka/bert_base_km_20_v1_qnli", device_map="auto")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Hartunka/bert_base_km_20_v1_qnli")
    model = AutoModelForSequenceClassification.from_pretrained("Hartunka/bert_base_km_20_v1_qnli", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert_base_km_20_v1_qnli / logs
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  • 1 contributor
History: 16 commits
Hartunka's picture
Hartunka
End of training
e8a9ea2 verified over 1 year ago
  • events.out.tfevents.1745028510.s_005_m.2780655.22
    9.08 kB
    xet
    Model save over 1 year ago
  • events.out.tfevents.1745029750.s_005_m.2780655.23
    363 Bytes
    xet
    End of training over 1 year ago
  • events.out.tfevents.1745044249.s_005_m.2788007.4
    9.08 kB
    xet
    Model save over 1 year ago
  • events.out.tfevents.1745045504.s_005_m.2788007.5
    363 Bytes
    xet
    End of training over 1 year ago