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codefactory4791
/
quantized-bge-large-en-v1.5

Feature Extraction
Transformers
ONNX
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use codefactory4791/quantized-bge-large-en-v1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use codefactory4791/quantized-bge-large-en-v1.5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="codefactory4791/quantized-bge-large-en-v1.5")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("codefactory4791/quantized-bge-large-en-v1.5")
    model = AutoModel.from_pretrained("codefactory4791/quantized-bge-large-en-v1.5", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
quantized-bge-large-en-v1.5
337 MB
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  • 1 contributor
History: 9 commits
codefactory4791's picture
codefactory4791
Upload ort_config.json with huggingface_hub
25534e6 verified over 2 years ago
  • .DS_Store
    6.15 kB
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  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    21 Bytes
    initial commit over 2 years ago
  • config.json
    724 Bytes
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  • model_quantized.onnx
    336 MB
    xet
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  • ort_config.json
    830 Bytes
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  • special_tokens_map.json
    695 Bytes
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  • tokenizer.json
    711 kB
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  • tokenizer_config.json
    1.24 kB
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  • vocab.txt
    232 kB
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