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pmfsl
/
bertimbau-base-finetuned-rte

Text Classification
Transformers
google-tensorflow TensorFlow
Portuguese
bert
generated_from_keras_callback
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use pmfsl/bertimbau-base-finetuned-rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pmfsl/bertimbau-base-finetuned-rte with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="pmfsl/bertimbau-base-finetuned-rte")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("pmfsl/bertimbau-base-finetuned-rte")
    model = AutoModelForSequenceClassification.from_pretrained("pmfsl/bertimbau-base-finetuned-rte")
  • Notebooks
  • Google Colab
  • Kaggle
bertimbau-base-finetuned-rte
437 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 10 commits
pmfsl's picture
pmfsl
librarian-bot's picture
librarian-bot
Librarian Bot: Add base_model information to model (#1)
f3265f2 over 2 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    2.52 kB
    Librarian Bot: Add base_model information to model (#1) over 2 years ago
  • config.json
    959 Bytes
    End of training about 3 years ago
  • special_tokens_map.json
    125 Bytes
    End of training about 3 years ago
  • tf_model.h5
    436 MB
    xet
    End of training about 3 years ago
  • tokenizer.json
    678 kB
    End of training about 3 years ago
  • tokenizer_config.json
    511 Bytes
    End of training about 3 years ago
  • vocab.txt
    210 kB
    End of training about 3 years ago