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langchain/examples/huggingface_hub.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "3acf0069",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"Justin Beiber was born in New York City on July 1, 1967. He was the son of the late John Beiber and his wife, Mary.\n",
"\n",
"Justin was raised in a small town in the Bronx, New York. He attended the University of New York at Buffalo, where he majored in English.\n",
"\n",
"Justin was a member of the New York Giants from 1967 to 1969. He was a member of the New York Giants from 1969 to 1971.\n",
"\n",
"Justin was a member of the New York Giants from 1971 to 1972. He was a member of the New York Giants from 1972 to 1974.\n",
"\n",
"Justin was a member of the New York Giants from 1974 to 1975. He was a member of the New York Giants from 1975 to 1977.\n",
"\n",
"Justin was a member of the New York Giants from 1977 to 1978. He was a member of the New York Giants from 1978 to 1979.\n",
"\n",
"Justin was a member of the New York Giants from 1979 to\n"
]
}
],
"source": [
"from langchain import Prompt, HuggingFaceHub, LLMChain\n",
"\n",
"template = \"\"\"Question: {question}\n",
"\n",
"Answer: Let's think step by step.\"\"\"\n",
"prompt = Prompt(template=template, input_variables=[\"question\"])\n",
"llm_chain = LLMChain(prompt=prompt, llm=HuggingFaceHub(repo_id=\"gpt2\", temperature=1e-10))\n",
"\n",
"question = \"What NFL team won the Super Bowl in the year Justin Beiber was born?\"\n",
"\n",
"print(llm_chain.predict(question=question))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ae4559c7",
"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": "3.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}