Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

danielsaggau
/
scotus_experiments_co_

Text Classification
Transformers
PyTorch
TensorBoard
longformer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use danielsaggau/scotus_experiments_co_ with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="danielsaggau/scotus_experiments_co_")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("danielsaggau/scotus_experiments_co_")
    model = AutoModelForSequenceClassification.from_pretrained("danielsaggau/scotus_experiments_co_")
  • Notebooks
  • Google Colab
  • Kaggle
scotus_experiments_co_ / runs
27.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
danielsaggau's picture
danielsaggau
Training in progress, epoch 10
4889f64 over 3 years ago
  • Nov14_15-36-21_01a2aa734e8a
    Training in progress, epoch 1 over 3 years ago
  • Nov14_15-36-57_01a2aa734e8a
    Training in progress, epoch 10 over 3 years ago