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samheym
/
GerCross-Encoder

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

Instructions to use samheym/GerCross-Encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use samheym/GerCross-Encoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="samheym/GerCross-Encoder")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("samheym/GerCross-Encoder")
    model = AutoModelForSequenceClassification.from_pretrained("samheym/GerCross-Encoder")
  • Notebooks
  • Google Colab
  • Kaggle
GerCross-Encoder
441 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
samheym's picture
samheym
Update README.md
e10a806 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    890 Bytes
    Update README.md about 1 year ago
  • config.json
    835 Bytes
    Upload CrossEncoder about 1 year ago
  • model.safetensors
    440 MB
    xet
    Upload CrossEncoder about 1 year ago
  • special_tokens_map.json
    695 Bytes
    Upload CrossEncoder about 1 year ago
  • tokenizer.json
    729 kB
    Upload CrossEncoder about 1 year ago
  • tokenizer_config.json
    1.29 kB
    Upload CrossEncoder about 1 year ago
  • vocab.txt
    240 kB
    Upload CrossEncoder about 1 year ago