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theta
/
deeper

Text Classification
Transformers
PyTorch
TensorBoard
bert
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use theta/deeper with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="theta/deeper")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("theta/deeper")
    model = AutoModelForSequenceClassification.from_pretrained("theta/deeper")
  • Notebooks
  • Google Colab
  • Kaggle
deeper / runs
133 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 52 commits
theta's picture
theta
Training in progress, step 20
db76fe2 over 3 years ago
  • Jan31_07-23-15_3758975f449a
    Training in progress, step 20 over 3 years ago
  • Jan31_07-40-46_3758975f449a
    Training in progress, step 380 over 3 years ago
  • Jan31_11-09-41_836080a9568c
    Training in progress, step 20 over 3 years ago
  • Jan31_11-47-08_836080a9568c
    Training in progress, step 20 over 3 years ago
  • Jan31_12-10-54_836080a9568c
    Training in progress, step 20 over 3 years ago
  • Jan31_12-29-03_836080a9568c
    Training in progress, step 20 over 3 years ago
  • Jan31_13-26-10_836080a9568c
    Training in progress, step 20 over 3 years ago
  • Jan31_13-39-14_836080a9568c
    Training in progress, step 20 over 3 years ago