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ismatsamadov
/
Named_Entity_Recognition

Token Classification
Transformers
Azerbaijani
ner
azerbaijani
fastapi
xlm-roberta
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use ismatsamadov/Named_Entity_Recognition with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="ismatsamadov/Named_Entity_Recognition")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ismatsamadov/Named_Entity_Recognition", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Named_Entity_Recognition / models
2.18 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 15 commits
ismatsamadov's picture
ismatsamadov
research of dataset
a114003 over 1 year ago
  • NER_from_scratch.ipynb
    15.4 kB
    building NER model from scratch over 1 year ago
  • README.md
    9.14 kB
    Update README.md over 1 year ago
  • XLM-RoBERTa.ipynb
    162 kB
    xlm-roberta-large over 1 year ago
  • azeri-turkish-bert-ner.ipynb
    175 kB
    check over 1 year ago
  • mBERT.ipynb
    60.2 kB
    check over 1 year ago
  • push_to_HF.py
    452 Bytes
    check over 1 year ago
  • research.ipynb
    1.65 MB
    research of dataset over 1 year ago
  • xlm_roberta_large.ipynb
    109 kB
    xlm-roberta-large over 1 year ago