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

  • Log In
  • Sign Up

padmajabfrl
/
Religion-Classification-Custom-Model

Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
9

Instructions to use padmajabfrl/Religion-Classification-Custom-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use padmajabfrl/Religion-Classification-Custom-Model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="padmajabfrl/Religion-Classification-Custom-Model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("padmajabfrl/Religion-Classification-Custom-Model")
    model = AutoModelForSequenceClassification.from_pretrained("padmajabfrl/Religion-Classification-Custom-Model")
  • Notebooks
  • Google Colab
  • Kaggle
Religion-Classification-Custom-Model / runs
39.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 118 commits
Padmaj Srivastav
End of training
42922eb almost 3 years ago
  • Jun28_06-33-45_98981bf94d4f
    Training in progress, step 500 almost 3 years ago
  • Jun28_06-42-15_98981bf94d4f
    Training in progress, step 33000 almost 3 years ago
  • Jun28_07-48-38_2050d85f79c9
    End of training almost 3 years ago