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JJ-Tae
/
Pretraining_MFM_v1

Fill-Mask
Transformers
TensorBoard
Safetensors
deberta
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use JJ-Tae/Pretraining_MFM_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JJ-Tae/Pretraining_MFM_v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="JJ-Tae/Pretraining_MFM_v1")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("JJ-Tae/Pretraining_MFM_v1")
    model = AutoModelForMaskedLM.from_pretrained("JJ-Tae/Pretraining_MFM_v1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Pretraining_MFM_v1 / runs /Apr22_17-11-24_JJ
16.5 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
JJ-Tae's picture
JJ-Tae
PretrainingTest
d0a4806 verified over 2 years ago
  • events.out.tfevents.1713773485.JJ.7896.0
    16.5 kB
    xet
    PretrainingTest over 2 years ago