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eulogik
/
flashrank-pro-base

Text Classification
Transformers
PyTorch
Safetensors
English
modernbert
text-ranking
reranker
reranking
cross-encoder
retrieval-augmented-generation
rag
information-retrieval
beir
ms-marco
apache-2.0
english
cpu
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use eulogik/flashrank-pro-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use eulogik/flashrank-pro-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="eulogik/flashrank-pro-base")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("eulogik/flashrank-pro-base")
    model = AutoModelForSequenceClassification.from_pretrained("eulogik/flashrank-pro-base", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
flashrank-pro-base
902 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
GautamKishore's picture
GautamKishore
Upload README.md with huggingface_hub
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  • assets
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  • .gitattributes
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  • README.md
    7.76 kB
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  • config.json
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  • model.safetensors
    598 MB
    xet
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  • pytorch_model.bin
    299 MB
    xet
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  • tokenizer.json
    3.58 MB
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  • tokenizer_config.json
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