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oussama120
/
Resume_Sentence_Classification

Text Classification
Transformers
PyTorch
distilbert
fine-tuning
resume classification
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use oussama120/Resume_Sentence_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use oussama120/Resume_Sentence_Classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="oussama120/Resume_Sentence_Classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("oussama120/Resume_Sentence_Classification")
    model = AutoModelForSequenceClassification.from_pretrained("oussama120/Resume_Sentence_Classification")
  • Notebooks
  • Google Colab
  • Kaggle
Resume_Sentence_Classification
1.55 kB
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  • 1 contributor
History: 1 commit
oussama120's picture
oussama120
initial commit
67b8288 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    31 Bytes
    initial commit almost 2 years ago