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LACAI
/
roberta-base-PFG-progression

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

Instructions to use LACAI/roberta-base-PFG-progression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LACAI/roberta-base-PFG-progression with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="LACAI/roberta-base-PFG-progression")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("LACAI/roberta-base-PFG-progression")
    model = AutoModelForSequenceClassification.from_pretrained("LACAI/roberta-base-PFG-progression")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-PFG-progression / runs
57.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
AbrahamSanders's picture
AbrahamSanders
First model version
5b76598 almost 4 years ago
  • events.out.tfevents.1649256790.panacea.40619.0
    57.1 kB
    xet
    First model version almost 4 years ago