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259 Bytes
| # Use a pipeline as a high-level helper | |
| import streamlit as st | |
| from transformers import pipeline | |
| pipe = pipeline("text-generation", model="AJosh/Unsloth-llama3-instruct-4it") | |
| text = st.text_area("enter some text") | |
| if text: | |
| out= pipe(text) | |
| st.json(out) |