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FractalGPT
/
SbertDistilAIFr

Feature Extraction
Transformers
ONNX
Russian
English
bert
AIFramework 2.2 Open
.net
sbert
C#
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use FractalGPT/SbertDistilAIFr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="FractalGPT/SbertDistilAIFr")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("FractalGPT/SbertDistilAIFr")
    model = AutoModel.from_pretrained("FractalGPT/SbertDistilAIFr")
  • Notebooks
  • Google Colab
  • Kaggle
SbertDistilAIFr
48.4 MB
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  • 1 contributor
History: 4 commits
Ponimash's picture
Ponimash
Update README.md
104c80a verified over 2 years ago
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  • .gitattributes
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  • README.md
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  • config.json
    680 Bytes
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  • model.onnx
    47.2 MB
    xet
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  • tokenizer_config.json
    1.43 kB
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  • vocab.txt
    241 kB
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