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mdizak
/
bert-large-NER-rust

Token Classification
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Rust
ONNX
Safetensors
English
bert
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use mdizak/bert-large-NER-rust with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mdizak/bert-large-NER-rust with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="mdizak/bert-large-NER-rust")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mdizak/bert-large-NER-rust")
    model = AutoModelForTokenClassification.from_pretrained("mdizak/bert-large-NER-rust")
  • Notebooks
  • Google Colab
  • Kaggle
bert-large-NER-rust / onnx
1.33 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
mdizak
Initial
786494d about 2 years ago
  • added_tokens.json
    82 Bytes
    Initial about 2 years ago
  • config.json
    1.2 kB
    Initial about 2 years ago
  • model.onnx
    1.33 GB
    xet
    Initial about 2 years ago
  • special_tokens_map.json
    125 Bytes
    Initial about 2 years ago
  • tokenizer.json
    669 kB
    Initial about 2 years ago
  • tokenizer_config.json
    1.3 kB
    Initial about 2 years ago
  • vocab.txt
    213 kB
    Initial about 2 years ago