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davidpc99
/
multilanguageNER

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

Instructions to use davidpc99/multilanguageNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use davidpc99/multilanguageNER with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="davidpc99/multilanguageNER")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("davidpc99/multilanguageNER")
    model = AutoModelForTokenClassification.from_pretrained("davidpc99/multilanguageNER")
  • Notebooks
  • Google Colab
  • Kaggle
multilanguageNER
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
davidpc99's picture
davidpc99
Create README.md
ca84f82 about 3 years ago
  • .gitattributes
    1.53 kB
    Upload tokenizer about 3 years ago
  • README.md
    112 Bytes
    Create README.md about 3 years ago
  • config.json
    988 Bytes
    Upload XLMRobertaForTokenClassification about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.11 GB
    xet
    Upload XLMRobertaForTokenClassification about 3 years ago
  • special_tokens_map.json
    280 Bytes
    Upload tokenizer about 3 years ago
  • tokenizer.json
    17.1 MB
    xet
    Upload tokenizer about 3 years ago
  • tokenizer_config.json
    413 Bytes
    Upload tokenizer about 3 years ago