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JeremiahZ
/
imdb_distilbert-base-uncased

Text Classification
Transformers
TensorBoard
Safetensors
English
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use JeremiahZ/imdb_distilbert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JeremiahZ/imdb_distilbert-base-uncased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="JeremiahZ/imdb_distilbert-base-uncased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("JeremiahZ/imdb_distilbert-base-uncased")
    model = AutoModelForSequenceClassification.from_pretrained("JeremiahZ/imdb_distilbert-base-uncased")
  • Notebooks
  • Google Colab
  • Kaggle
imdb_distilbert-base-uncased / runs
12.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
JeremiahZ's picture
JeremiahZ
End of training
4feca7f over 2 years ago
  • Nov03_19-55-46_d11-03.hpc.usc.edu
    End of training over 2 years ago