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yassin99
/
rubertForRussian

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Russian
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use yassin99/rubertForRussian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yassin99/rubertForRussian with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="yassin99/rubertForRussian")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("yassin99/rubertForRussian")
    model = AutoModel.from_pretrained("yassin99/rubertForRussian")
  • Notebooks
  • Google Colab
  • Kaggle
rubertForRussian
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
yassin99's picture
yassin99
First
6c91b53 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    584 Bytes
    First model version over 3 years ago
  • config.json
    642 Bytes
    First model version over 3 years ago
  • flax_model.msgpack
    714 MB
    xet
    First model version over 3 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
    First model version over 3 years ago
  • special_tokens_map.json
    112 Bytes
    First model version over 3 years ago
  • tf_model.h5
    1.08 GB
    xet
    First model version over 3 years ago
  • tokenizer.json
    468 kB
    First over 3 years ago
  • tokenizer_config.json
    24 Bytes
    First model version over 3 years ago
  • vocab.txt
    1.65 MB
    First model version over 3 years ago