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disanda
/
first_try_4

Fill-Mask
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use disanda/first_try_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use disanda/first_try_4 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="disanda/first_try_4")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("disanda/first_try_4")
    model = AutoModelForMaskedLM.from_pretrained("disanda/first_try_4", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
first_try_4 / runs
11.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
disanda's picture
disanda
End of training
561b250 about 3 years ago
  • Jul09_07-20-23_124515221aec
    End of training about 3 years ago