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bond005
/
rubert-entity-embedder

Feature Extraction
Transformers
PyTorch
google-tensorflow TensorFlow
Safetensors
Russian
bert
Model card Files Files and versions
xet
Community

Instructions to use bond005/rubert-entity-embedder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use bond005/rubert-entity-embedder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="bond005/rubert-entity-embedder")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("bond005/rubert-entity-embedder")
    model = AutoModel.from_pretrained("bond005/rubert-entity-embedder")
  • Notebooks
  • Google Colab
  • Kaggle
rubert-entity-embedder
2.14 GB
Ctrl+K
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  • 1 contributor
History: 5 commits
bond005's picture
bond005
Update README.md
b2b3251 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.09 kB
    Update README.md about 2 years ago
  • config.json
    869 Bytes
    Upload 7 files about 2 years ago
  • model.safetensors
    711 MB
    xet
    Upload 7 files about 2 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    711 MB
    xet
    Upload 7 files about 2 years ago
  • special_tokens_map.json
    112 Bytes
    Upload 7 files about 2 years ago
  • tf_model.h5
    712 MB
    xet
    Upload 7 files about 2 years ago
  • tokenizer_config.json
    24 Bytes
    Upload 7 files about 2 years ago
  • vocab.txt
    1.65 MB
    Upload 7 files about 2 years ago