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opticalmaterials
/
opticalbert_cner_cased

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

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

  • Libraries
  • Transformers

    How to use opticalmaterials/opticalbert_cner_cased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="opticalmaterials/opticalbert_cner_cased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("opticalmaterials/opticalbert_cner_cased")
    model = AutoModelForTokenClassification.from_pretrained("opticalmaterials/opticalbert_cner_cased")
  • Notebooks
  • Google Colab
  • Kaggle
opticalbert_cner_cased
432 MB
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  • 1 contributor
History: 8 commits
opticalmaterials's picture
opticalmaterials
Upload vocab.txt
6c3521f over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • config.json
    906 Bytes
    Upload config.json over 3 years ago
  • pytorch_model.bin
    431 MB
    xet
    Upload pytorch_model.bin over 3 years ago
  • special_tokens_map.json
    112 Bytes
    Upload special_tokens_map.json over 3 years ago
  • tokenizer.json
    669 kB
    Upload tokenizer.json over 3 years ago
  • tokenizer_config.json
    404 Bytes
    Upload tokenizer_config.json over 3 years ago
  • training_args.bin
    3.25 kB
    xet
    Upload training_args.bin over 3 years ago
  • vocab.txt
    213 kB
    Upload vocab.txt over 3 years ago