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optimum
/
all-MiniLM-L6-v2-neuron

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

Instructions to use optimum/all-MiniLM-L6-v2-neuron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use optimum/all-MiniLM-L6-v2-neuron with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="optimum/all-MiniLM-L6-v2-neuron")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("optimum/all-MiniLM-L6-v2-neuron")
    model = AutoModel.from_pretrained("optimum/all-MiniLM-L6-v2-neuron")
  • Notebooks
  • Google Colab
  • Kaggle
all-MiniLM-L6-v2-neuron
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  • 2 contributors
History: 2 commits
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fuzeey
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ccb0a43 almost 3 years ago
  • .gitattributes
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  • README.md
    28 Bytes
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  • config.json
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  • model.neuron
    61.8 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
    366 Bytes
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  • vocab.txt
    232 kB
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