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maple
/
xlm-roberta-large

Token Classification
Transformers
PyTorch
xlm-roberta
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use maple/xlm-roberta-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="maple/xlm-roberta-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("maple/xlm-roberta-large")
    model = AutoModelForTokenClassification.from_pretrained("maple/xlm-roberta-large")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-roberta-large
Ctrl+K
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  • 1 contributor
History: 4 commits
aditeyabaral's picture
aditeyabaral
add model
f0e767b over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    720 Bytes
    add model over 4 years ago
  • pytorch_model.bin
    2.24 GB
    xet
    add model over 4 years ago
  • special_tokens_map.json
    239 Bytes
    add tokenizer over 4 years ago
  • tokenizer.json
    9.08 MB
    add tokenizer over 4 years ago
  • tokenizer_config.json
    425 Bytes
    add tokenizer over 4 years ago