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JLake310
/
bert-q-encoder

Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community

Instructions to use JLake310/bert-q-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JLake310/bert-q-encoder with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, HFBertEncoder
    
    tokenizer = AutoTokenizer.from_pretrained("JLake310/bert-q-encoder")
    model = HFBertEncoder.from_pretrained("JLake310/bert-q-encoder")
  • Notebooks
  • Google Colab
  • Kaggle
bert-q-encoder
443 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
JLake310's picture
JLake310
model init
9bbd8df almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • config.json
    624 Bytes
    model init almost 3 years ago
  • pytorch_model.bin
    443 MB
    xet
    model init almost 3 years ago
  • special_tokens_map.json
    125 Bytes
    model init almost 3 years ago
  • tokenizer.json
    495 kB
    model init almost 3 years ago
  • tokenizer_config.json
    289 Bytes
    model init almost 3 years ago
  • vocab.txt
    248 kB
    model init almost 3 years ago