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MarcusLoren
/
Reranker-job-description

Text Classification
Transformers
ONNX
Safetensors
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use MarcusLoren/Reranker-job-description with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MarcusLoren/Reranker-job-description with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="MarcusLoren/Reranker-job-description")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MarcusLoren/Reranker-job-description")
    model = AutoModelForSequenceClassification.from_pretrained("MarcusLoren/Reranker-job-description")
  • Notebooks
  • Google Colab
  • Kaggle
Reranker-job-description
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  • 1 contributor
History: 8 commits
MarcusLoren's picture
MarcusLoren
Update README.md
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  • .gitattributes
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  • README.md
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  • Reranker.onnx
    1.11 GB
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  • config.json
    805 Bytes
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  • model.safetensors
    1.11 GB
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  • sentencepiece.bpe.model
    5.07 MB
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  • special_tokens_map.json
    963 Bytes
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  • tokenizer.json
    17.1 MB
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  • tokenizer_config.json
    1.17 kB
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