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almaghrabima
/
ner_tag_model

Token Classification
Transformers
PyTorch
English
deberta-v2
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use almaghrabima/ner_tag_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="almaghrabima/ner_tag_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("almaghrabima/ner_tag_model")
    model = AutoModelForTokenClassification.from_pretrained("almaghrabima/ner_tag_model")
  • Notebooks
  • Google Colab
  • Kaggle
ner_tag_model
3.48 GB
Ctrl+K
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  • 1 contributor
History: 7 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
aa253cc verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    3.46 kB
    Update README.md over 2 years ago
  • added_tokens.json
    23 Bytes
    End of training over 2 years ago
  • config.json
    1.24 kB
    End of training over 2 years ago
  • model.safetensors
    1.74 GB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin
    1.74 GB
    xet
    End of training over 2 years ago
  • special_tokens_map.json
    173 Bytes
    End of training over 2 years ago
  • spm.model
    2.46 MB
    xet
    End of training over 2 years ago
  • tokenizer.json
    8.65 MB
    End of training over 2 years ago
  • tokenizer_config.json
    520 Bytes
    End of training over 2 years ago
  • training_args.bin
    3.96 kB
    xet
    End of training over 2 years ago