zsxkib/embedding-gemma-300m

Turn any text into 768-dimensional vectors for search, classification, and AI apps 🧠✨

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  1. Author
    @zsxkib
    Version
    cuda12.1-python3.11-X64
    Commit
    06c8cca6054bde710eb77c09cd6578dbbc0b1397

    d753bd5a

    Latest
  2. Author
    @zsxkib
    Version
    cuda12.1-python3.11-X64
    Commit
    c78842d3e7a00f4568d2a36c7f791dee9beda4db

    6b8074e5

  3. Author
    @zsxkib
    Version
    cuda12.1-python3.11-X64
    Commit
    8e34239366a1662441b6d1901073de22e2088626

    030c87a9

  4. Author
    @zsxkib
    Version
    cuda12.1-python3.11-X64
    Commit
    3ea1ffd23b7e1a378627d98d2e46af9e7efe03ff

    54e0ff35

  5. Author
    @zsxkib
    Version
    cuda12.1-python3.11-X64
    Commit
    d64557bfdd96ea4fd742a045a01206beaab9dee1

    ee394bc8