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PrometheusUA
/
roberta-distilled-quantized-ner-ua

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

Instructions to use PrometheusUA/roberta-distilled-quantized-ner-ua with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use PrometheusUA/roberta-distilled-quantized-ner-ua with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="PrometheusUA/roberta-distilled-quantized-ner-ua")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("PrometheusUA/roberta-distilled-quantized-ner-ua")
    model = AutoModelForTokenClassification.from_pretrained("PrometheusUA/roberta-distilled-quantized-ner-ua")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-distilled-quantized-ner-ua
301 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
PrometheusUA's picture
PrometheusUA
First version ORT files added
2398c18 over 2 years ago
  • .gitattributes
    1.57 kB
    First version ORT files added over 2 years ago
  • config.json
    1.1 kB
    First version ORT files added over 2 years ago
  • model_quantized_optimized.onnx
    278 MB
    xet
    First version ORT files added over 2 years ago
  • ort_config.json
    1.27 kB
    First version ORT files added over 2 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    First version ORT files added over 2 years ago
  • special_tokens_map.json
    280 Bytes
    First version ORT files added over 2 years ago
  • tokenizer.json
    17.1 MB
    xet
    First version ORT files added over 2 years ago
  • tokenizer_config.json
    1.15 kB
    First version ORT files added over 2 years ago