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NASA-AIML
/
MIKA_Custom_IR

Sentence Similarity
sentence-transformers
PyTorch
Safetensors
mpnet
feature-extraction
text-embeddings-inference
Model card Files Files and versions
xet
Community
2

Instructions to use NASA-AIML/MIKA_Custom_IR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use NASA-AIML/MIKA_Custom_IR with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("NASA-AIML/MIKA_Custom_IR")
    
    sentences = [
        "what components are vulnerable to fatigue crack?",
        "One of the first-stage compressor blades had fractued due to fatigue cracking.",
        "Witnesses and the fire department personnel noted fuel leaking due to a cracked fuel line.",
        "During periods of low visibility and night conditions, the supporting sensors sometimes conflict."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
MIKA_Custom_IR / onnx
436 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
mrm8848's picture
mrm8848
Adding ONNX file of this model
77487ff verified about 1 year ago
  • config.json
    656 Bytes
    Adding ONNX file of this model about 1 year ago
  • model.onnx
    436 MB
    xet
    Adding ONNX file of this model about 1 year ago