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reem442
/
Roberta

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 reem442/Roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use reem442/Roberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="reem442/Roberta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("reem442/Roberta")
    model = AutoModelForSequenceClassification.from_pretrained("reem442/Roberta")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    2.17 kB
    Training in progress epoch 2 about 2 years ago
  • config.json
    909 Bytes
    Training in progress epoch 0 about 2 years ago
  • merges.txt
    456 kB
    Training in progress epoch 0 about 2 years ago
  • special_tokens_map.json
    280 Bytes
    Training in progress epoch 0 about 2 years ago
  • tf_model.h5
    329 MB
    xet
    Training in progress epoch 2 about 2 years ago
  • tokenizer.json
    2.11 MB
    Training in progress epoch 0 about 2 years ago
  • tokenizer_config.json
    1.22 kB
    Training in progress epoch 0 about 2 years ago
  • vocab.json
    798 kB
    Training in progress epoch 0 about 2 years ago