Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

DerivedFunction01
/
albert-imdb

Text Classification
Transformers
TensorBoard
Safetensors
albert
Generated from Trainer
sentiment-analysis
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use DerivedFunction01/albert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DerivedFunction01/albert-imdb with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="DerivedFunction01/albert-imdb")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("DerivedFunction01/albert-imdb")
    model = AutoModelForSequenceClassification.from_pretrained("DerivedFunction01/albert-imdb")
  • Notebooks
  • Google Colab
  • Kaggle
albert-imdb
48.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
DerivedFunction's picture
DerivedFunction
Update README.md
ddd663c verified about 2 months ago
  • runs
    End of training 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    1.72 kB
    Update README.md about 2 months ago
  • config.json
    857 Bytes
    Training in progress, step 833 2 months ago
  • model.safetensors
    46.7 MB
    xet
    End of training 2 months ago
  • tokenizer.json
    1.96 MB
    End of training 2 months ago
  • tokenizer_config.json
    390 Bytes
    End of training 2 months ago
  • training_args.bin
    5.2 kB
    xet
    End of training 2 months ago