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dflcmu
/
fine_tune_spatial_validation

Question Answering
Transformers
PyTorch
TensorBoard
roberta
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use dflcmu/fine_tune_spatial_validation with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="dflcmu/fine_tune_spatial_validation")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("dflcmu/fine_tune_spatial_validation")
    model = AutoModelForQuestionAnswering.from_pretrained("dflcmu/fine_tune_spatial_validation")
  • Notebooks
  • Google Colab
  • Kaggle
fine_tune_spatial_validation / runs
10.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
dflcmu's picture
dflcmu
Training in progress, epoch 6
05ae4c5 about 3 years ago
  • Mar26_06-58-40_a36522e98460
    Training in progress, epoch 6 about 3 years ago