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SlavicNLP
/
slavicner-ner-cross-topic-large

Token Classification
Transformers
Safetensors
xlm-roberta
ner
named entity recognition
Model card Files Files and versions
xet
Community

Instructions to use SlavicNLP/slavicner-ner-cross-topic-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SlavicNLP/slavicner-ner-cross-topic-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="SlavicNLP/slavicner-ner-cross-topic-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SlavicNLP/slavicner-ner-cross-topic-large")
    model = AutoModelForTokenClassification.from_pretrained("SlavicNLP/slavicner-ner-cross-topic-large")
  • Notebooks
  • Google Colab
  • Kaggle
slavicner-ner-cross-topic-large
2.25 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
czuk's picture
czuk
Update config.json
c57ab48 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    6.19 kB
    Update README.md almost 2 years ago
  • config.json
    1.14 kB
    Update config.json almost 2 years ago
  • model.safetensors
    2.24 GB
    xet
    Model upload almost 2 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Upload sentencepiece.bpe.model almost 2 years ago
  • special_tokens_map.json
    280 Bytes
    Model upload almost 2 years ago
  • tokenizer.json
    9.1 MB
    Upload 2 files almost 2 years ago
  • tokenizer_config.json
    25 Bytes
    Upload 2 files almost 2 years ago