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NasimB
/
bert-dp-3

Fill-Mask
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
2

Instructions to use NasimB/bert-dp-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NasimB/bert-dp-3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="NasimB/bert-dp-3")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("NasimB/bert-dp-3")
    model = AutoModelForMaskedLM.from_pretrained("NasimB/bert-dp-3")
  • Notebooks
  • Google Colab
  • Kaggle
bert-dp-3
875 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 20 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
3d6b13e almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 1000 almost 3 years ago
  • config.json
    589 Bytes
    Training in progress, step 1000 almost 3 years ago
  • merges.txt
    267 kB
    Training in progress, step 1000 almost 3 years ago
  • model.safetensors
    437 MB
    xet
    Adding `safetensors` variant of this model almost 3 years ago
  • pytorch_model.bin
    437 MB
    xet
    Training in progress, step 18000 almost 3 years ago
  • special_tokens_map.json
    957 Bytes
    Training in progress, step 1000 almost 3 years ago
  • tokenizer_config.json
    1.36 kB
    Training in progress, step 1000 almost 3 years ago
  • training_args.bin
    3.44 kB
    xet
    Training in progress, step 1000 almost 3 years ago
  • vocab.json
    593 kB
    Training in progress, step 1000 almost 3 years ago