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rpii2023
/
albertv2_DC_unsorted_DEC_CF

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

Instructions to use rpii2023/albertv2_DC_unsorted_DEC_CF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rpii2023/albertv2_DC_unsorted_DEC_CF with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rpii2023/albertv2_DC_unsorted_DEC_CF")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rpii2023/albertv2_DC_unsorted_DEC_CF")
    model = AutoModelForSequenceClassification.from_pretrained("rpii2023/albertv2_DC_unsorted_DEC_CF")
  • Notebooks
  • Google Colab
  • Kaggle
albertv2_DC_unsorted_DEC_CF / runs
46.5 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
rpii2023's picture
rpii2023
Training in progress, epoch 10
dc44335 over 2 years ago
  • Oct11_06-43-55_6c50dec023ce
    Training in progress, epoch 2 over 2 years ago
  • Oct11_07-31-08_99d5d4ba844f
    Training in progress, epoch 1 over 2 years ago
  • Oct11_07-41-12_99d5d4ba844f
    Training in progress, epoch 1 over 2 years ago
  • Oct11_08-05-58_27f2e085fab0
    Training in progress, epoch 10 over 2 years ago