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abigailp
/
m3

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

Instructions to use abigailp/m3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use abigailp/m3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="abigailp/m3")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("abigailp/m3")
    model = AutoModelForSequenceClassification.from_pretrained("abigailp/m3")
  • Notebooks
  • Google Colab
  • Kaggle
m3 / runs
84.8 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 42 commits
abigailp's picture
abigailp
Training in progress, epoch 18
b2b6630 over 3 years ago
  • Jan31_12-23-12_f2ffbcdf767c
    Training in progress, epoch 1 over 3 years ago
  • Jan31_12-30-18_f2ffbcdf767c
    Training in progress, epoch 1 over 3 years ago
  • Jan31_12-36-18_f2ffbcdf767c
    Training in progress, epoch 1 over 3 years ago
  • Jan31_12-54-12_f2ffbcdf767c
    Training in progress, epoch 1 over 3 years ago
  • Jan31_13-16-55_f2ffbcdf767c
    Training in progress, epoch 5 over 3 years ago
  • Jan31_13-45-40_b152d93c994a
    Training in progress, epoch 1 over 3 years ago
  • Jan31_14-03-22_b152d93c994a
    Training in progress, epoch 18 over 3 years ago