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DerartuDG
/
MpnetWithchunking

Feature Extraction
Transformers
Safetensors
mpnet
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use DerartuDG/MpnetWithchunking with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="DerartuDG/MpnetWithchunking")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("DerartuDG/MpnetWithchunking")
    model = AutoModel.from_pretrained("DerartuDG/MpnetWithchunking")
  • Notebooks
  • Google Colab
  • Kaggle
MpnetWithchunking
439 MB
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  • 1 contributor
History: 2 commits
DerartuDG's picture
DerartuDG
Upload 7 files
de14099 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • Resume_ranking_with_chunking (1).ipynb
    38.4 kB
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  • config.json
    613 Bytes
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  • model.safetensors
    438 MB
    xet
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  • special_tokens_map.json
    962 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.58 kB
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  • vocab.txt
    232 kB
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