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badokorach
/
xlm-roberta-base

Question Answering
Transformers
google-tensorflow TensorFlow
xlm-roberta
generated_from_keras_callback
Model card Files Files and versions
xet
Community

Instructions to use badokorach/xlm-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use badokorach/xlm-roberta-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="badokorach/xlm-roberta-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("badokorach/xlm-roberta-base")
    model = AutoModelForQuestionAnswering.from_pretrained("badokorach/xlm-roberta-base")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-roberta-base
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
badokorach's picture
badokorach
Training in progress epoch 3
63165f2 almost 3 years ago
  • .gitattributes
    1.57 kB
    Training in progress epoch 0 almost 3 years ago
  • README.md
    1.52 kB
    Training in progress epoch 3 almost 3 years ago
  • config.json
    688 Bytes
    Training in progress epoch 0 almost 3 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Training in progress epoch 0 almost 3 years ago
  • special_tokens_map.json
    280 Bytes
    Training in progress epoch 0 almost 3 years ago
  • tf_model.h5
    1.11 GB
    xet
    Training in progress epoch 3 almost 3 years ago
  • tokenizer.json
    17.1 MB
    xet
    Training in progress epoch 0 almost 3 years ago
  • tokenizer_config.json
    418 Bytes
    Training in progress epoch 0 almost 3 years ago