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# TensorflowHub

Let’s load the TensorflowHub Embedding class.

    from langchain.embeddings import TensorflowHubEmbeddings

    embeddings = TensorflowHubEmbeddings()

    2023-01-30 23:53:01.652176: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
    To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
    2023-01-30 23:53:34.362802: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
    To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.

    text = "This is a test document."

    query_result = embeddings.embed_query(text)

    doc_results = embeddings.embed_documents(["foo"])

    doc_results