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mlsa-iai-msu-lab
/
sci-rus-tiny3

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

Instructions to use mlsa-iai-msu-lab/sci-rus-tiny3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mlsa-iai-msu-lab/sci-rus-tiny3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="mlsa-iai-msu-lab/sci-rus-tiny3")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("mlsa-iai-msu-lab/sci-rus-tiny3")
    model = AutoModel.from_pretrained("mlsa-iai-msu-lab/sci-rus-tiny3")
  • Notebooks
  • Google Colab
  • Kaggle
sci-rus-tiny3
96.5 MB
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  • 1 contributor
History: 30 commits
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mlsa-iai-msu-lab
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  • sentence_bert_config.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • vocab.json
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