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

  • Log In
  • Sign Up

debate-land
/
paradigm-model

Text Classification
Transformers
google-tensorflow TensorFlow
English
distilbert
debate
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use debate-land/paradigm-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use debate-land/paradigm-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="debate-land/paradigm-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("debate-land/paradigm-model")
    model = AutoModelForSequenceClassification.from_pretrained("debate-land/paradigm-model")
  • Notebooks
  • Google Colab
  • Kaggle
paradigm-model
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
http-samc's picture
http-samc
Upload 6 files
e6d2ca2 over 2 years ago
  • .gitattributes
    1.6 kB
    Upload 4 files almost 3 years ago
  • README.md
    1.95 kB
    Update README.md almost 3 years ago
  • config.json
    640 Bytes
    Upload 6 files almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload 6 files almost 3 years ago
  • tf_model.h5
    268 MB
    xet
    Upload 6 files over 2 years ago
  • tokenizer.json
    711 kB
    Upload 6 files almost 3 years ago
  • tokenizer_config.json
    320 Bytes
    Upload 6 files almost 3 years ago
  • vocab.txt
    232 kB
    Upload 6 files almost 3 years ago