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Diluzx
/
bert-large-model

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 Diluzx/bert-large-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Diluzx/bert-large-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Diluzx/bert-large-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Diluzx/bert-large-model")
    model = AutoModelForSequenceClassification.from_pretrained("Diluzx/bert-large-model")
  • Notebooks
  • Google Colab
  • Kaggle
bert-large-model
1.34 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Diluzx's picture
Diluzx
Tokenizer added
e03927b verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.79 kB
    Upload TFBertForSequenceClassification about 2 years ago
  • config.json
    652 Bytes
    Upload TFBertForSequenceClassification about 2 years ago
  • special_tokens_map.json
    125 Bytes
    Tokenizer added about 2 years ago
  • tf_model.h5
    1.34 GB
    xet
    Upload TFBertForSequenceClassification about 2 years ago
  • tokenizer.json
    711 kB
    Tokenizer added about 2 years ago
  • tokenizer_config.json
    1.19 kB
    Tokenizer added about 2 years ago
  • vocab.txt
    232 kB
    Tokenizer added about 2 years ago