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Hartunka
/
tiny_bert_rand_20_v2_wnli

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/tiny_bert_rand_20_v2_wnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hartunka/tiny_bert_rand_20_v2_wnli with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Hartunka/tiny_bert_rand_20_v2_wnli")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Hartunka/tiny_bert_rand_20_v2_wnli")
    model = AutoModelForSequenceClassification.from_pretrained("Hartunka/tiny_bert_rand_20_v2_wnli")
  • Notebooks
  • Google Colab
  • Kaggle
tiny_bert_rand_20_v2_wnli / logs
9.37 kB
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  • 1 contributor
History: 2 commits
Hartunka's picture
Hartunka
End of training
ca887e1 verified about 1 year ago
  • events.out.tfevents.1745314188.s_005_m.2850172.32
    9.01 kB
    xet
    Model save about 1 year ago
  • events.out.tfevents.1745314212.s_005_m.2850172.33
    357 Bytes
    xet
    End of training about 1 year ago