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SharedBailii
/
PT-POL

Fill-Mask
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use SharedBailii/PT-POL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SharedBailii/PT-POL with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="SharedBailii/PT-POL")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("SharedBailii/PT-POL")
    model = AutoModelForMaskedLM.from_pretrained("SharedBailii/PT-POL")
  • Notebooks
  • Google Colab
  • Kaggle
PT-POL
1.35 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
Waleed-bin-Qamar's picture
Waleed-bin-Qamar
Upload tokenizer
d3c2815 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    707 Bytes
    Upload BertForMaskedLM over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

    • "collections.OrderedDict",
    • "torch.LongStorage",
    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    1.35 GB
    xet
    Upload BertForMaskedLM over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 3 years ago
  • tokenizer.json
    742 kB
    Upload tokenizer over 3 years ago
  • tokenizer_config.json
    495 Bytes
    Upload tokenizer over 3 years ago
  • vocab.txt
    238 kB
    Upload tokenizer over 3 years ago