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DeepPavlov
/
xlm-roberta-large-en-ru

Feature Extraction
Transformers
PyTorch
English
Russian
xlm-roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use DeepPavlov/xlm-roberta-large-en-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DeepPavlov/xlm-roberta-large-en-ru with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="DeepPavlov/xlm-roberta-large-en-ru")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("DeepPavlov/xlm-roberta-large-en-ru")
    model = AutoModelForMultimodalLM.from_pretrained("DeepPavlov/xlm-roberta-large-en-ru")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-roberta-large-en-ru
1.36 GB
Ctrl+K
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  • 1 contributor
History: 6 commits
adorkin's picture
adorkin
Update README.md
da9f180 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    205 Bytes
    Update README.md over 4 years ago
  • config.json
    722 Bytes
    Add model files over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (4)

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

    What is a pickle import?

    1.36 GB
    xet
    Add model files over 4 years ago
  • sentencepiece.bpe.model
    944 kB
    xet
    Add model files over 4 years ago
  • special_tokens_map.json
    238 Bytes
    Add model files over 4 years ago
  • tokenizer.json
    1.51 MB
    Update tokenizer over 4 years ago
  • tokenizer_config.json
    582 Bytes
    Update tokenizer over 4 years ago