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DeepPavlov
/
rubert-base-cased

Feature Extraction
Transformers
PyTorch
JAX
Russian
bert
Model card Files Files and versions
xet
Community
4

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

  • Libraries
  • Transformers

    How to use DeepPavlov/rubert-base-cased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="DeepPavlov/rubert-base-cased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("DeepPavlov/rubert-base-cased")
    model = AutoModel.from_pretrained("DeepPavlov/rubert-base-cased")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
rubert-base-cased
1.43 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 13 commits
yurakuratov's picture
yurakuratov
fix: set do_lower_case to false in tokenizer_config.json
4036cab over 4 years ago
  • .gitattributes
    391 Bytes
    allow flax almost 5 years ago
  • README.md
    584 Bytes
    upload model with MLM and NSP heads over 4 years ago
  • config.json
    642 Bytes
    Update config.json about 6 years ago
  • flax_model.msgpack
    714 MB
    xet
    upload model with MLM and NSP heads over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    714 MB
    xet
    upload model with MLM and NSP heads over 4 years ago
  • special_tokens_map.json
    112 Bytes
    Update special_tokens_map.json about 6 years ago
  • tokenizer_config.json
    24 Bytes
    fix: set do_lower_case to false in tokenizer_config.json over 4 years ago
  • vocab.txt
    1.65 MB
    Update vocab.txt about 6 years ago