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Documentation Index

Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt

Use this file to discover all available pages before exploring further.

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Code

cookbook/models/huggingface/llama_essay_writer.py
import os
from getpass import getpass

from agno.agent import Agent
from agno.models.huggingface import HuggingFace

agent = Agent(
    model=HuggingFace(
        id="meta-llama/Meta-Llama-3-8B-Instruct",
        max_tokens=4096,
    ),
    description="You are an essay writer. Write a 300 words essay on topic that will be provided by user",
)
agent.print_response("topic: AI")

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Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Set your API key

export HF_TOKEN=xxx
3

Install libraries

pip install -U huggingface_hub agno
4

Run Agent

python cookbook/models/huggingface/llama_essay_writer.py