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Thamer
/
electra-fine-tuned

Text Classification
Transformers
google-tensorflow TensorFlow
electra
generated_from_keras_callback
Model card Files Files and versions
xet
Community

Instructions to use Thamer/electra-fine-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Thamer/electra-fine-tuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Thamer/electra-fine-tuned")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Thamer/electra-fine-tuned")
    model = AutoModelForSequenceClassification.from_pretrained("Thamer/electra-fine-tuned")
  • Notebooks
  • Google Colab
  • Kaggle
electra-fine-tuned
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Thamer Smadi
Training in progress epoch 2
21bd6c6 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    2.2 kB
    Training in progress epoch 2 almost 3 years ago
  • config.json
    900 Bytes
    Training in progress epoch 0 almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress epoch 0 almost 3 years ago
  • tf_model.h5
    438 MB
    xet
    Training in progress epoch 2 almost 3 years ago
  • tokenizer.json
    711 kB
    Training in progress epoch 0 almost 3 years ago
  • tokenizer_config.json
    317 Bytes
    Training in progress epoch 0 almost 3 years ago
  • vocab.txt
    232 kB
    Training in progress epoch 0 almost 3 years ago