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subhasisj
/
zh-TAPT-MLM-MiniLM

Fill-Mask
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use subhasisj/zh-TAPT-MLM-MiniLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use subhasisj/zh-TAPT-MLM-MiniLM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="subhasisj/zh-TAPT-MLM-MiniLM")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("subhasisj/zh-TAPT-MLM-MiniLM")
    model = AutoModelForMaskedLM.from_pretrained("subhasisj/zh-TAPT-MLM-MiniLM")
  • Notebooks
  • Google Colab
  • Kaggle
zh-TAPT-MLM-MiniLM / runs
61 kB
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  • 1 contributor
History: 2 commits
subhasisj's picture
subhasisj
Training Completed
4f91ef2 about 4 years ago
  • May09_20-04-09_9901267adec5
    Training in progress, step 500 about 4 years ago
  • May09_20-04-49_9901267adec5
    Training in progress, step 500 about 4 years ago
  • May09_20-06-18_9901267adec5
    Training in progress, step 500 about 4 years ago
  • May09_20-07-59_9901267adec5
    Training in progress, step 500 about 4 years ago
  • May09_20-08-30_9901267adec5
    Training in progress, step 500 about 4 years ago
  • May09_20-10-03_9901267adec5
    Training in progress, step 500 about 4 years ago
  • May09_20-12-39_9901267adec5
    Training in progress, step 500 about 4 years ago
  • May09_20-15-33_9901267adec5
    Training Completed about 4 years ago