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MarioPenguin
/
roberta-model-english

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

Instructions to use MarioPenguin/roberta-model-english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MarioPenguin/roberta-model-english with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MarioPenguin/roberta-model-english")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MarioPenguin/roberta-model-english")
    model = AutoModelForSequenceClassification.from_pretrained("MarioPenguin/roberta-model-english")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-model-english
502 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
MarioPenguin's picture
MarioPenguin
add tokenizer
c2c25b6 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    1.56 kB
    add model over 4 years ago
  • config.json
    658 Bytes
    add model over 4 years ago
  • merges.txt
    456 kB
    add tokenizer over 4 years ago
  • special_tokens_map.json
    239 Bytes
    add tokenizer over 4 years ago
  • tf_model.h5
    499 MB
    xet
    add model over 4 years ago
  • tokenizer.json
    2.11 MB
    add tokenizer over 4 years ago
  • tokenizer_config.json
    349 Bytes
    add tokenizer over 4 years ago
  • vocab.json
    798 kB
    add tokenizer over 4 years ago