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yjernite
/
retribert-base-uncased

Feature Extraction
Transformers
PyTorch
retribert
Model card Files Files and versions
xet
Community
1

Instructions to use yjernite/retribert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yjernite/retribert-base-uncased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="yjernite/retribert-base-uncased")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("yjernite/retribert-base-uncased", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
retribert-base-uncased
326 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
sgugger's picture
sgugger
Move files from bert-base-uncased
aeab2b0 about 5 years ago
  • .gitattributes
    345 Bytes
    initial commit almost 6 years ago
  • config.json
    487 Bytes
    Update config.json almost 6 years ago
  • pytorch_model.bin
    325 MB
    xet
    Update pytorch_model.bin almost 6 years ago
  • tokenizer.json
    466 kB
    Move files from bert-base-uncased about 5 years ago
  • vocab.txt
    232 kB
    Move files from bert-base-uncased about 5 years ago