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intexcp
/
ru-en-RoSBERTa

Feature Extraction
Transformers
Safetensors
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use intexcp/ru-en-RoSBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use intexcp/ru-en-RoSBERTa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="intexcp/ru-en-RoSBERTa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("intexcp/ru-en-RoSBERTa")
    model = AutoModel.from_pretrained("intexcp/ru-en-RoSBERTa")
  • Notebooks
  • Google Colab
  • Kaggle
ru-en-RoSBERTa
823 MB
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  • 1 contributor
History: 3 commits
intexcp's picture
intexcp
Upload tokenizer
5de8b0c verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    5.17 kB
    Upload model 8 months ago
  • config.json
    661 Bytes
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  • merges.txt
    1.82 MB
    Upload tokenizer 8 months ago
  • model.safetensors
    810 MB
    xet
    Upload model 8 months ago
  • special_tokens_map.json
    958 Bytes
    Upload tokenizer 8 months ago
  • tokenizer.json
    8.84 MB
    Upload tokenizer 8 months ago
  • tokenizer_config.json
    1.35 kB
    Upload tokenizer 8 months ago
  • vocab.json
    2.49 MB
    Upload tokenizer 8 months ago