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CodeNLP
/
pdn2_v08_kpwr_ner_n82

Token Classification
Transformers
Polish
bert
feature-extraction
ner
poldeepner2
Model card Files Files and versions
xet
Community
1

Instructions to use CodeNLP/pdn2_v08_kpwr_ner_n82 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use CodeNLP/pdn2_v08_kpwr_ner_n82 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="CodeNLP/pdn2_v08_kpwr_ner_n82")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("CodeNLP/pdn2_v08_kpwr_ner_n82")
    model = AutoModel.from_pretrained("CodeNLP/pdn2_v08_kpwr_ner_n82")
  • Notebooks
  • Google Colab
  • Kaggle
pdn2_v08_kpwr_ner_n82
1.43 GB
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  • 1 contributor
History: 5 commits
czuk's picture
czuk
Update README.md
dd41565 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • LICENSE.md
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  • README.md
    709 Bytes
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  • config.json
    842 Bytes
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  • merges.txt
    556 kB
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  • pdn2_config.yml
    3.72 kB
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  • pdn2_eval_kpwr_test.txt
    5.36 kB
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  • pdn2_metadata.yml
    306 Bytes
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  • pdn2_model.pt

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.43 GB
    xet
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  • special_tokens_map.json
    129 Bytes
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  • test_results.txt
    5.36 kB
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  • tokenizer.json
    2.3 MB
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  • tokenizer_config.json
    551 Bytes
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  • vocab.json
    907 kB
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