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ismatsamadov
/
xlm_roberta_large_az_ner

Token Classification
Transformers
Azerbaijani
xlm-roberta
ner
azerbaijani
multilingual
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use ismatsamadov/xlm_roberta_large_az_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ismatsamadov/xlm_roberta_large_az_ner with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="ismatsamadov/xlm_roberta_large_az_ner")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ismatsamadov/xlm_roberta_large_az_ner")
    model = AutoModelForTokenClassification.from_pretrained("ismatsamadov/xlm_roberta_large_az_ner", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
xlm_roberta_large_az_ner
2.26 GB
Ctrl+K
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  • 2 contributors
History: 9 commits
ismatsamadov's picture
ismatsamadov
docs: remove all GitHub references, replaced with HuggingFace URLs
281c7cf 4 months ago
  • .gitattributes
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  • README.md
    7.23 kB
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  • config.json
    2.77 kB
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  • model-001.safetensors
    2.24 GB
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  • sentencepiece.bpe.model
    5.07 MB
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    17.1 MB
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  • tokenizer_config.json
    1.34 kB
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  • xlm_roberta_large.ipynb
    109 kB
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  • xlm_roberta_large.py
    14.2 kB
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