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julian-schelb
/
roberta-ner-multilingual

Token Classification
Transformers
PyTorch
Safetensors
xlm-roberta
roberta
ner
nlp
Model card Files Files and versions
xet
Community
2

Instructions to use julian-schelb/roberta-ner-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use julian-schelb/roberta-ner-multilingual with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="julian-schelb/roberta-ner-multilingual")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("julian-schelb/roberta-ner-multilingual")
    model = AutoModelForTokenClassification.from_pretrained("julian-schelb/roberta-ner-multilingual", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-ner-multilingual
4.5 GB
Ctrl+K
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  • 2 contributors
History: 34 commits
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julian-schelb
Update README.md
d0a1914 about 3 years ago
  • .gitattributes
    1.54 kB
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • README.md
    7.34 kB
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  • config.json
    1.01 kB
    Upload XLMRobertaForTokenClassification over 3 years ago
  • model.safetensors
    2.24 GB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • pytorch_model.bin
    2.24 GB
    xet
    Upload XLMRobertaForTokenClassification over 3 years ago
  • special_tokens_map.json
    280 Bytes
    add tokenizer almost 4 years ago
  • tokenizer.json
    17.1 MB
    xet
    add tokenizer almost 4 years ago
  • tokenizer_config.json
    499 Bytes
    Upload tokenizer over 3 years ago
  • unigram.json
    14.8 MB
    xet
    add tokenizer almost 4 years ago