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TurkuNLP
/
xlmr-qa-extraction-fi

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

Instructions to use TurkuNLP/xlmr-qa-extraction-fi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TurkuNLP/xlmr-qa-extraction-fi with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="TurkuNLP/xlmr-qa-extraction-fi")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("TurkuNLP/xlmr-qa-extraction-fi")
    model = AutoModelForTokenClassification.from_pretrained("TurkuNLP/xlmr-qa-extraction-fi")
  • Notebooks
  • Google Colab
  • Kaggle
xlmr-qa-extraction-fi
1.12 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
annieske's picture
annieske
Update README.md
b63fe6d verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    3.1 kB
    Update README.md almost 2 years ago
  • config.json
    860 Bytes
    Upload 4 files over 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    1.11 GB
    xet
    Upload 4 files over 2 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Upload 4 files over 2 years ago
  • tokenizer.json
    9.1 MB
    Upload 4 files over 2 years ago