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Einstien
/
xlm-roberta-base-multilingual-ner

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

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

  • Libraries
  • Transformers

    How to use Einstien/xlm-roberta-base-multilingual-ner with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Einstien/xlm-roberta-base-multilingual-ner")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Einstien/xlm-roberta-base-multilingual-ner")
    model = AutoModelForTokenClassification.from_pretrained("Einstien/xlm-roberta-base-multilingual-ner", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-roberta-base-multilingual-ner
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Einstien's picture
Einstien
Update model with better fine-tuned weights and improved F1 score
f418b6f verified 4 days ago
  • .gitattributes
    1.57 kB
    Upload tokenizer about 2 months ago
  • README.md
    5.17 kB
    Upload XLMRobertaForTokenClassification about 2 months ago
  • config.json
    1.03 kB
    Update model with better fine-tuned weights and improved F1 score 4 days ago
  • model.safetensors
    1.11 GB
    xet
    Update model with better fine-tuned weights and improved F1 score 4 days ago
  • tokenizer.json
    17.1 MB
    xet
    Upload tokenizer about 2 months ago
  • tokenizer_config.json
    533 Bytes
    Upload tokenizer about 2 months ago