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Dauka-transformers
/
BERT_word2vec

Fill-Mask
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
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xet
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Instructions to use Dauka-transformers/BERT_word2vec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Dauka-transformers/BERT_word2vec with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Dauka-transformers/BERT_word2vec")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Dauka-transformers/BERT_word2vec")
    model = AutoModelForMaskedLM.from_pretrained("Dauka-transformers/BERT_word2vec")
  • Notebooks
  • Google Colab
  • Kaggle
BERT_word2vec / runs
382 kB
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  • 1 contributor
History: 1 commit
Dauka-transformers's picture
Dauka-transformers
End of training
35e81b2 verified almost 2 years ago
  • Jun02_11-14-34_gpu211-06
    End of training almost 2 years ago