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Mozilla
/
smart-tab-embedding

Sentence Similarity
sentence-transformers
ONNX
Safetensors
bert
feature-extraction
Generated from Trainer
loss:CosineSimilarityLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Mozilla/smart-tab-embedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use Mozilla/smart-tab-embedding with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("Mozilla/smart-tab-embedding")
    
    sentences = [
        "Oracle Cloud - Infrastructure and Platform Services for Enterprises",
        "PulseAudio - Ubuntu Wiki",
        "Documentation page not found - Read the Docs",
        "Dwarf Fortress beginner tips - Video Games on Sports Illustrated"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
smart-tab-embedding / onnx
343 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
vazish's picture
vazish
add fine-tuned model
ddd1077 unverified over 1 year ago
  • model.onnx
    90.4 MB
    xet
    add fine-tuned model over 1 year ago
  • model_bnb4.onnx
    54 MB
    xet
    add fine-tuned model over 1 year ago
  • model_fp16.onnx
    45.3 MB
    xet
    add fine-tuned model over 1 year ago
  • model_int8.onnx
    23 MB
    xet
    add fine-tuned model over 1 year ago
  • model_q4.onnx
    54.6 MB
    xet
    add fine-tuned model over 1 year ago
  • model_q4f16.onnx
    30.1 MB
    xet
    add fine-tuned model over 1 year ago
  • model_quantized.onnx
    23 MB
    xet
    add fine-tuned model over 1 year ago
  • model_uint8.onnx
    23 MB
    xet
    add fine-tuned model over 1 year ago