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NYUAD-ComNets
/
ethic_name_model

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

Instructions to use NYUAD-ComNets/ethic_name_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NYUAD-ComNets/ethic_name_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="NYUAD-ComNets/ethic_name_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("NYUAD-ComNets/ethic_name_model")
    model = AutoModelForSequenceClassification.from_pretrained("NYUAD-ComNets/ethic_name_model")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.94 kB
    Training in progress epoch 2 about 2 years ago
  • config.json
    650 Bytes
    Training in progress epoch 0 about 2 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress epoch 0 about 2 years ago
  • spiece.model
    760 kB
    xet
    Training in progress epoch 0 about 2 years ago
  • tf_model.h5
    268 MB
    xet
    Training in progress epoch 2 about 2 years ago
  • tokenizer.json
    711 kB
    Training in progress epoch 0 about 2 years ago
  • tokenizer_config.json
    1.2 kB
    Training in progress epoch 0 about 2 years ago
  • vocab.txt
    232 kB
    Training in progress epoch 0 about 2 years ago