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webis
/
tiny-bert-ranker-bm25

Text Classification
Transformers
Safetensors
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use webis/tiny-bert-ranker-bm25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use webis/tiny-bert-ranker-bm25 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="webis/tiny-bert-ranker-bm25")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("webis/tiny-bert-ranker-bm25")
    model = AutoModelForSequenceClassification.from_pretrained("webis/tiny-bert-ranker-bm25")
  • Notebooks
  • Google Colab
  • Kaggle
tiny-bert-ranker-bm25
18.5 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Maik Fröbe
initial commit
b7f6b7b almost 2 years ago
  • .gitattributes
    1.57 kB
    initial commit almost 2 years ago
  • config.json
    877 Bytes
    initial commit almost 2 years ago
  • model.safetensors
    17.5 MB
    xet
    initial commit almost 2 years ago
  • special_tokens_map.json
    695 Bytes
    initial commit almost 2 years ago
  • tokenizer.json
    712 kB
    initial commit almost 2 years ago
  • tokenizer_config.json
    1.38 kB
    initial commit almost 2 years ago
  • vocab.txt
    232 kB
    initial commit almost 2 years ago