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EmbeddedLLM
/
bge-base-en-v1.5-onnx-o3-cpu

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

Instructions to use EmbeddedLLM/bge-base-en-v1.5-onnx-o3-cpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use EmbeddedLLM/bge-base-en-v1.5-onnx-o3-cpu with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="EmbeddedLLM/bge-base-en-v1.5-onnx-o3-cpu")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("EmbeddedLLM/bge-base-en-v1.5-onnx-o3-cpu")
    model = AutoModel.from_pretrained("EmbeddedLLM/bge-base-en-v1.5-onnx-o3-cpu", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bge-base-en-v1.5-onnx-o3-cpu
437 MB
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  • 2 contributors
History: 5 commits
thesunday's picture
thesunday
Update README.md
6ee7fcd verified over 2 years ago
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  • vocab.txt
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