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kibrq
/
bert2bert-commutator-translator-250

Transformers
PyTorch
encoder-decoder
text2text-generation
Model card Files Files and versions
xet
Community
1

Instructions to use kibrq/bert2bert-commutator-translator-250 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kibrq/bert2bert-commutator-translator-250 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("kibrq/bert2bert-commutator-translator-250")
    model = AutoModelForSeq2SeqLM.from_pretrained("kibrq/bert2bert-commutator-translator-250")
  • Notebooks
  • Google Colab
  • Kaggle
bert2bert-commutator-translator-250
23.6 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
kibrq's picture
kibrq
Update model and tokenizer file
b15d2c2 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    4.59 kB
    Update model and tokenizer file about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    23.6 MB
    xet
    Update model and tokenizer file about 3 years ago
  • special_tokens_map.json
    72 Bytes
    Update model and tokenizer file about 3 years ago
  • tokenizer.json
    3.66 kB
    Update model and tokenizer file about 3 years ago
  • tokenizer_config.json
    299 Bytes
    Update model and tokenizer file about 3 years ago