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eskayML
/
electra_interview_new

Text Classification
Transformers
TensorBoard
Safetensors
electra
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use eskayML/electra_interview_new with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="eskayML/electra_interview_new")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("eskayML/electra_interview_new")
    model = AutoModelForSequenceClassification.from_pretrained("eskayML/electra_interview_new")
  • Notebooks
  • Google Colab
  • Kaggle
electra_interview_new / runs
36.5 kB
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  • 1 contributor
History: 2 commits
eskayML's picture
eskayML
eskayML/electra_interview_new
d1080a5 verified over 1 year ago
  • Oct12_22-41-05_d927312f0386
    eskayML/electra_interview_new over 1 year ago
  • Sep13_14-20-46_0294381cf3b7
    eskayML/electra_interview_new over 1 year ago
  • Sep13_14-21-18_0294381cf3b7
    eskayML/electra_interview_new over 1 year ago
  • Sep13_14-21-34_0294381cf3b7
    eskayML/electra_interview_new over 1 year ago