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Tylah
/
test

Text Classification
Transformers
google-tensorflow TensorFlow
deberta-v2
generated_from_keras_callback
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Tylah/test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Tylah/test")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Tylah/test")
    model = AutoModelForSequenceClassification.from_pretrained("Tylah/test", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
test
749 MB
Ctrl+K
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  • 1 contributor
History: 16 commits
Tylah's picture
Tylah
Training in progress epoch 2
697488a almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    1.87 kB
    Training in progress epoch 2 almost 3 years ago
  • added_tokens.json
    23 Bytes
    Training in progress epoch 0 almost 3 years ago
  • config.json
    1.04 kB
    Training in progress epoch 0 almost 3 years ago
  • special_tokens_map.json
    173 Bytes
    Training in progress epoch 0 almost 3 years ago
  • spm.model
    2.46 MB
    xet
    Training in progress epoch 0 almost 3 years ago
  • tf_model.h5
    738 MB
    xet
    Training in progress epoch 2 almost 3 years ago
  • tokenizer.json
    8.66 MB
    Training in progress epoch 0 almost 3 years ago
  • tokenizer_config.json
    412 Bytes
    Training in progress epoch 0 almost 3 years ago