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GbrlOl
/
cross-encoder-toy-v2

Text Classification
Transformers
Safetensors
bert
cross-encoder
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use GbrlOl/cross-encoder-toy-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use GbrlOl/cross-encoder-toy-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="GbrlOl/cross-encoder-toy-v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("GbrlOl/cross-encoder-toy-v2")
    model = AutoModelForSequenceClassification.from_pretrained("GbrlOl/cross-encoder-toy-v2")
  • Notebooks
  • Google Colab
  • Kaggle
cross-encoder-toy-v2
91.8 MB
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  • 1 contributor
History: 2 commits
GbrlOl's picture
GbrlOl
Upload CrossEncoder
af97d73 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.19 kB
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  • config.json
    829 Bytes
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  • model.safetensors
    90.9 MB
    xet
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    1.46 kB
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  • vocab.txt
    232 kB
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