Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

ELHACHYMI
/
bert-ner

Token Classification
Transformers
Safetensors
PyTorch
English
bert
ner
named-entity-recognition
conll2003
nlp
fine-tuning
Model card Files Files and versions
xet
Community

Instructions to use ELHACHYMI/bert-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ELHACHYMI/bert-ner with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="ELHACHYMI/bert-ner")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ELHACHYMI/bert-ner")
    model = AutoModelForTokenClassification.from_pretrained("ELHACHYMI/bert-ner")
  • Notebooks
  • Google Colab
  • Kaggle
bert-ner
437 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
ELHACHYMI's picture
ELHACHYMI
Update config.json
e51cceb verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    1.51 kB
    Update README.md 5 months ago
  • config.json
    971 Bytes
    Update config.json 5 months ago
  • model.safetensors
    436 MB
    xet
    Upload BertForTokenClassification 5 months ago
  • special_tokens_map.json
    132 Bytes
    Upload tokenizer 5 months ago
  • tokenizer.json
    711 kB
    Upload tokenizer 5 months ago
  • tokenizer_config.json
    1.28 kB
    Upload tokenizer 5 months ago
  • vocab.txt
    232 kB
    Upload tokenizer 5 months ago