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{
"cells": [
{
"cell_type": "markdown",
"id": "fff4734f",
"metadata": {},
"source": [
"# TensorflowHub\n",
"Let's load the TensorflowHub Embedding class."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "f822104b",
"metadata": {},
"outputs": [],
"source": [
"from langchain.embeddings import TensorflowHubEmbeddings"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "bac84e46",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"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\n",
"To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
"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\n",
"To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
]
}
],
"source": [
"embeddings = TensorflowHubEmbeddings()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "4790d770",
"metadata": {},
"outputs": [],
"source": [
"text = \"This is a test document.\""
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "f556dcdb",
"metadata": {},
"outputs": [],
"source": [
"query_result = embeddings.embed_query(text)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "76f1b752",
"metadata": {},
"outputs": [],
"source": [
"doc_results = embeddings.embed_documents([\"foo\"])"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fff99b21",
"metadata": {},
"outputs": [],
"source": [
"doc_results"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "aaad49f8",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.1"
},
"vscode": {
"interpreter": {
"hash": "7377c2ccc78bc62c2683122d48c8cd1fb85a53850a1b1fc29736ed39852c9885"
}
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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