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nikunjbjj
/
jd-resume-model

Text Classification
Transformers
PyTorch
JAX
bert
Model card Files Files and versions
xet
Community
1

Instructions to use nikunjbjj/jd-resume-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nikunjbjj/jd-resume-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="nikunjbjj/jd-resume-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("nikunjbjj/jd-resume-model")
    model = AutoModelForSequenceClassification.from_pretrained("nikunjbjj/jd-resume-model")
  • Notebooks
  • Google Colab
  • Kaggle
jd-resume-model
879 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 11 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
f04e154 about 5 years ago
  • .gitattributes
    736 Bytes
    allow flax about 5 years ago
  • README.md
    461 Bytes
    Update readme. over 5 years ago
  • config.json
    657 Bytes
    Create config.json over 5 years ago
  • flax_model.msgpack
    439 MB
    xet
    upload flax model about 5 years ago
  • pytorch_model.bin
    439 MB
    xet
    Adding model over 5 years ago
  • special_tokens_map.json
    112 Bytes
    Create special_tokens_map.json over 5 years ago
  • tokenizer_config.json
    253 Bytes
    Create tokenizer_config.json over 5 years ago
  • vocab.txt
    279 kB
    Vocab file over 5 years ago