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Integer-Ctrl
/
cross-encoder-bert-tiny-51200

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

Instructions to use Integer-Ctrl/cross-encoder-bert-tiny-51200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Integer-Ctrl/cross-encoder-bert-tiny-51200 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Integer-Ctrl/cross-encoder-bert-tiny-51200")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Integer-Ctrl/cross-encoder-bert-tiny-51200")
    model = AutoModelForSequenceClassification.from_pretrained("Integer-Ctrl/cross-encoder-bert-tiny-51200")
  • Notebooks
  • Google Colab
  • Kaggle
cross-encoder-bert-tiny-51200
18.5 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Integer-Ctrl's picture
Integer-Ctrl
Feat: fine-tuned model based on bert tine (batch_size 32)
3a588aa verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • config.json
    751 Bytes
    Feat: fine-tuned model based on bert tine (batch_size 32) about 2 years ago
  • model.safetensors
    17.5 MB
    xet
    Feat: fine-tuned model based on bert tine (batch_size 32) about 2 years ago
  • special_tokens_map.json
    132 Bytes
    Feat: fine-tuned model based on bert tine (batch_size 32) about 2 years ago
  • tokenizer.json
    712 kB
    Feat: fine-tuned model based on bert tine (batch_size 32) about 2 years ago
  • tokenizer_config.json
    1.33 kB
    Feat: fine-tuned model based on bert tine (batch_size 32) about 2 years ago
  • vocab.txt
    232 kB
    Feat: fine-tuned model based on bert tine (batch_size 32) about 2 years ago