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yashpwr
/
resume-ner-bert

Token Classification
Transformers
Safetensors
English
bert
resume-parsing
named-entity-recognition
ner
information-extraction
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use yashpwr/resume-ner-bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="yashpwr/resume-ner-bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("yashpwr/resume-ner-bert")
    model = AutoModelForTokenClassification.from_pretrained("yashpwr/resume-ner-bert")
  • Notebooks
  • Google Colab
  • Kaggle
resume-ner-bert
432 MB
Ctrl+K
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  • 1 contributor
History: 6 commits
yashpwr's picture
yashpwr
Upload README.md
3ea6ecf verified 10 months ago
  • .gitattributes
    1.52 kB
    initial commit 10 months ago
  • README.md
    1.82 kB
    Upload README.md 10 months ago
  • config.json
    1.9 kB
    Upload resume NER model 10 months ago
  • label_mappings.json
    1.28 kB
    Upload label_mappings.json 10 months ago
  • model.safetensors
    431 MB
    xet
    Upload resume NER model 10 months ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer 10 months ago
  • tokenizer.json
    669 kB
    Upload tokenizer 10 months ago
  • tokenizer_config.json
    1.22 kB
    Upload tokenizer 10 months ago
  • training_summary.json
    1.86 kB
    Upload training_summary.json 10 months ago
  • vocab.txt
    213 kB
    Upload tokenizer 10 months ago