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Jios
/
bert-unformatted-network-data-test

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Jios/bert-unformatted-network-data-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Jios/bert-unformatted-network-data-test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Jios/bert-unformatted-network-data-test")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Jios/bert-unformatted-network-data-test")
    model = AutoModelForSequenceClassification.from_pretrained("Jios/bert-unformatted-network-data-test", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-unformatted-network-data-test / runs
8.1 kB
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  • 1 contributor
History: 6 commits
Jios's picture
Jios
Training in progress, epoch 5
a0d2d71 verified about 2 years ago
  • May27_20-05-40_ad703e144527
    Training in progress, epoch 5 about 2 years ago