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RaguTeam
/
BertRE

Text Classification
Transformers
Safetensors
Russian
bert
relation-extraction
ru-bert
nerel
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use RaguTeam/BertRE with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="RaguTeam/BertRE")
    # Load model directly
    from transformers import AutoTokenizer, BertRE
    
    tokenizer = AutoTokenizer.from_pretrained("RaguTeam/BertRE")
    model = BertRE.from_pretrained("RaguTeam/BertRE")
  • Notebooks
  • Google Colab
  • Kaggle
BertRE
724 MB
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  • 1 contributor
History: 2 commits
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IlyaMyzk
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  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    5.27 kB
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  • added_tokens.json
    77 Bytes
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  • config.json
    3.03 kB
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  • model.safetensors
    719 MB
    xet
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  • relation_constraints.json
    21.9 kB
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  • special_tokens_map.json
    1.29 kB
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  • tokenizer.json
    3.57 MB
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  • tokenizer_config.json
    2.07 kB
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  • vocab.txt
    1.65 MB
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