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

  • Log In
  • Sign Up

jgross4606
/
cs109b-project-baseline

Text Classification
Transformers
Safetensors
bert
Model card Files Files and versions
xet

Instructions to use jgross4606/cs109b-project-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jgross4606/cs109b-project-baseline with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jgross4606/cs109b-project-baseline")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jgross4606/cs109b-project-baseline")
    model = AutoModelForSequenceClassification.from_pretrained("jgross4606/cs109b-project-baseline")
  • Notebooks
  • Google Colab
  • Kaggle
cs109b-project-baseline
438 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
jgross4606's picture
jgross4606
Best model at epoch 4 (val_loss=0.1485)
0d37d3b verified 16 days ago
  • .gitattributes
    1.52 kB
    initial commit 16 days ago
  • README.md
    5.17 kB
    Best model at epoch 1 (val_loss=0.2250) 16 days ago
  • config.json
    1.08 kB
    Best model at epoch 1 (val_loss=0.2250) 16 days ago
  • model.safetensors
    438 MB
    xet
    Best model at epoch 4 (val_loss=0.1485) 16 days ago