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anwesham
/
mbert_ur

Token Classification
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use anwesham/mbert_ur with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="anwesham/mbert_ur")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("anwesham/mbert_ur")
    model = AutoModelForTokenClassification.from_pretrained("anwesham/mbert_ur")
  • Notebooks
  • Google Colab
  • Kaggle
mbert_ur
713 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
anwesham's picture
anwesham
Upload pytorch_model.bin with git-lfs
2ec0560 about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit about 4 years ago
  • config.json
    1.15 kB
    Upload config.json about 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    709 MB
    xet
    Upload pytorch_model.bin with git-lfs about 4 years ago
  • special_tokens_map.json
    112 Bytes
    Upload special_tokens_map.json about 4 years ago
  • tokenizer.json
    2.92 MB
    Upload tokenizer.json about 4 years ago
  • tokenizer_config.json
    333 Bytes
    Upload tokenizer_config.json about 4 years ago
  • vocab.txt
    996 kB
    Upload vocab.txt about 4 years ago