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vladjr
/
bert-competicao

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

Instructions to use vladjr/bert-competicao with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vladjr/bert-competicao with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="vladjr/bert-competicao")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("vladjr/bert-competicao")
    model = AutoModelForSequenceClassification.from_pretrained("vladjr/bert-competicao")
  • Notebooks
  • Google Colab
  • Kaggle
bert-competicao
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
vladjr's picture
vladjr
Training in progress epoch 5
a6cb3aa over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    2.08 kB
    Training in progress epoch 5 over 2 years ago
  • config.json
    1.4 kB
    Training in progress epoch 0 over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress epoch 0 over 2 years ago
  • tf_model.h5
    438 MB
    xet
    Training in progress epoch 2 over 2 years ago
  • tokenizer.json
    711 kB
    Training in progress epoch 0 over 2 years ago
  • tokenizer_config.json
    1.19 kB
    Training in progress epoch 0 over 2 years ago
  • vocab.txt
    232 kB
    Training in progress epoch 0 over 2 years ago