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Holako
/
NER_model_holako

Token Classification
Transformers
PyTorch
xlm-roberta
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use Holako/NER_model_holako with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Holako/NER_model_holako")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Holako/NER_model_holako")
    model = AutoModelForTokenClassification.from_pretrained("Holako/NER_model_holako")
  • Notebooks
  • Google Colab
  • Kaggle
NER_model_holako
2.24 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 9 commits
Holako's picture
Holako
Update README.md
b358aa4 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    1.01 kB
    Update README.md over 4 years ago
  • config.json
    982 Bytes
    new_ner over 4 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?

    2.24 GB
    xet
    new_ner over 4 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    new_ner over 4 years ago
  • special_tokens_map.json
    150 Bytes
    new_ner over 4 years ago
  • tokenizer_config.json
    212 Bytes
    new_ner over 4 years ago
  • training_args.bin

    Detected Pickle imports (2)

    • "argparse.Namespace",
    • "torch.device"

    How to fix it?

    1.52 kB
    xet
    new_ner over 4 years ago