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aidalab
/
rutabert-base

Transformers
Safetensors
Russian
bert
rutabert
semantic-table-interpretation
column-type-annotation
Model card Files Files and versions
xet
Community

Instructions to use aidalab/rutabert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aidalab/rutabert-base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, BertForClassification
    
    tokenizer = AutoTokenizer.from_pretrained("aidalab/rutabert-base")
    model = BertForClassification.from_pretrained("aidalab/rutabert-base")
  • Notebooks
  • Google Colab
  • Kaggle
rutabert-base
2.68 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 9 commits
LedZeppe1in
Updated README.md
758b9d4 almost 2 years ago
  • rutabert_pipeline
    Added custom rutabert pipeline for column type annotation almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    2.7 kB
    Updated README.md almost 2 years ago
  • config.json
    8.21 kB
    Added model checkpoint and model.safetensors almost 2 years ago
  • model.safetensors
    670 MB
    xet
    Added new model and tokenizer versions almost 2 years ago
  • pytorch_model_checkpoint.pt

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    2.01 GB
    xet
    Added new model and tokenizer versions almost 2 years ago
  • special_tokens_map.json
    125 Bytes
    Added new model and tokenizer versions almost 2 years ago
  • tokenizer_config.json
    1.24 kB
    Added new model and tokenizer versions almost 2 years ago
  • vocab.txt
    872 kB
    Added new model and tokenizer versions almost 2 years ago