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Vikhrmodels
/
vikhr_encoder

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

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

  • Libraries
  • Transformers

    How to use Vikhrmodels/vikhr_encoder with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Vikhrmodels/vikhr_encoder")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Vikhrmodels/vikhr_encoder")
    model = AutoModel.from_pretrained("Vikhrmodels/vikhr_encoder")
  • Notebooks
  • Google Colab
  • Kaggle
vikhr_encoder
3.92 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
AlexWortega's picture
AlexWortega
Upload photo_2024-05-28_16-03-22.jpg
e107c89 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.09 kB
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  • added_tokens.json
    377 Bytes
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  • config.json
    733 Bytes
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  • model.safetensors
    3.91 GB
    xet
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  • photo_2024-05-28_16-03-22.jpg
    132 kB
    Upload photo_2024-05-28_16-03-22.jpg almost 2 years ago
  • special_tokens_map.json
    550 Bytes
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  • tokenizer.json
    5.75 MB
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  • tokenizer.model
    1.64 MB
    xet
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  • tokenizer_config.json
    3.49 kB
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