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Davlan
/
xlm-roberta-base-ner-hrl

Token Classification
Transformers
PyTorch
Safetensors
xlm-roberta
Model card Files Files and versions
xet
Community
3

Instructions to use Davlan/xlm-roberta-base-ner-hrl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Davlan/xlm-roberta-base-ner-hrl with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Davlan/xlm-roberta-base-ner-hrl")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Davlan/xlm-roberta-base-ner-hrl")
    model = AutoModelForTokenClassification.from_pretrained("Davlan/xlm-roberta-base-ner-hrl", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

TemporalMesh Transformer: 29.4 PPL at 48% compute — beats Mamba, new open-source architecture

#3 opened 2 months ago by
vigneshwar234

Whitespace as ORG

4
#1 opened about 4 years ago by
TJC
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