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PyxiLab
/
Pyx-embeds

Sentence Similarity
sentence-transformers
TensorBoard
Safetensors
bert
feature-extraction
Trained with AutoTrain
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use PyxiLab/Pyx-embeds with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • sentence-transformers

    How to use PyxiLab/Pyx-embeds with sentence-transformers:

    from sentence_transformers import SentenceTransformer
    
    model = SentenceTransformer("PyxiLab/Pyx-embeds")
    
    sentences = [
        "search_query: i love autotrain",
        "search_query: huggingface auto train",
        "search_query: hugging face auto train",
        "search_query: i love autotrain"
    ]
    embeddings = model.encode(sentences)
    
    similarities = model.similarity(embeddings, embeddings)
    print(similarities.shape)
    # [4, 4]
  • Notebooks
  • Google Colab
  • Kaggle
Pyx-embeds
1.76 MB
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  • 1 contributor
History: 247 commits
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PyxiLabs
Upload folder using huggingface_hub
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  • runs
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  • .gitattributes
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    initial commit over 1 year ago