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viktoroo
/
sberbank-rubert-base-collection3

Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
Russian
bert
Generated from Trainer
named-entity-recognition
russian
ner
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use viktoroo/sberbank-rubert-base-collection3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use viktoroo/sberbank-rubert-base-collection3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="viktoroo/sberbank-rubert-base-collection3")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("viktoroo/sberbank-rubert-base-collection3")
    model = AutoModelForTokenClassification.from_pretrained("viktoroo/sberbank-rubert-base-collection3")
  • Notebooks
  • Google Colab
  • Kaggle
sberbank-rubert-base-collection3 / runs
16.3 kB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 2 commits
viktoroo's picture
viktoroo
Training complete
f656e2f about 3 years ago
  • Mar03_12-56-54_viktor-sch
    Training complete about 3 years ago