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EMBO
/
sd-ner-v2

Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use EMBO/sd-ner-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use EMBO/sd-ner-v2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="EMBO/sd-ner-v2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("EMBO/sd-ner-v2")
    model = AutoModelForTokenClassification.from_pretrained("EMBO/sd-ner-v2")
  • Notebooks
  • Google Colab
  • Kaggle
sd-ner-v2
436 MB
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  • 2 contributors
History: 14 commits
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librarian-bot
Librarian Bot: Add base_model information to model
833cf4f over 2 years ago
  • runs
    End of training over 3 years ago
  • .gitattributes
    1.34 kB
    initial commit almost 4 years ago
  • .gitignore
    13 Bytes
    End of training almost 4 years ago
  • README.md
    3.31 kB
    Librarian Bot: Add base_model information to model over 2 years ago
  • config.json
    1.49 kB
    End of training over 3 years ago
  • pytorch_model.bin
    436 MB
    xet
    End of training over 3 years ago
  • special_tokens_map.json
    112 Bytes
    Create new file almost 4 years ago
  • tokenizer.json
    447 kB
    Upload tokenizer.json almost 4 years ago
  • tokenizer_config.json
    379 Bytes
    Create new file almost 4 years ago
  • training_args.bin
    3.63 kB
    xet
    End of training over 3 years ago
  • vocab.txt
    225 kB
    Upload vocab.txt almost 4 years ago