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ukung
/
semantic-lite

Feature Extraction
sentence-transformers
Safetensors
qwen3
sentence-similarity
retrieval
pruned-model
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use ukung/semantic-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use ukung/semantic-lite with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("ukung/semantic-lite")
    
    sentences = [
        "The weather is lovely today.",
        "It's so sunny outside!",
        "He drove to the stadium."
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [3, 3]
  • Notebooks
  • Google Colab
  • Kaggle
semantic-lite
511 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
ukung's picture
ukung
Upload README.md with huggingface_hub
dfc4165 verified 5 days ago
  • 1_Pooling
    Release semantic-lite: Qwen3-0.6B pruned to 6 layers (250M params, dim 1024) 5 days ago
  • .gitattributes
    1.57 kB
    Release semantic-lite: Qwen3-0.6B pruned to 6 layers (250M params, dim 1024) 5 days ago
  • README.md
    7.61 kB
    Upload README.md with huggingface_hub 5 days ago
  • config.json
    925 Bytes
    Release semantic-lite: Qwen3-0.6B pruned to 6 layers (250M params, dim 1024) 5 days ago
  • config_sentence_transformers.json
    367 Bytes
    Use English retrieval prompt (nDCG 0.923) 5 days ago
  • model.safetensors
    500 MB
    xet
    Release semantic-lite: Qwen3-0.6B pruned to 6 layers (250M params, dim 1024) 5 days ago
  • modules.json
    277 Bytes
    Release semantic-lite: Qwen3-0.6B pruned to 6 layers (250M params, dim 1024) 5 days ago
  • sentence_bert_config.json
    241 Bytes
    Release semantic-lite: Qwen3-0.6B pruned to 6 layers (250M params, dim 1024) 5 days ago
  • tokenizer.json
    11.4 MB
    xet
    Release semantic-lite: Qwen3-0.6B pruned to 6 layers (250M params, dim 1024) 5 days ago
  • tokenizer_config.json
    717 Bytes
    Release semantic-lite: Qwen3-0.6B pruned to 6 layers (250M params, dim 1024) 5 days ago