| import streamlit as st | |
| from transformers import pipeline | |
| # Load the model from another account | |
| model_repo_id = "dbmdz/bert-base-turkish-cased" # Replace with the actual model ID | |
| model_pipeline = pipeline("text-classification", model=model_repo_id) # Replace "task-name" with the appropriate task | |
| st.title("Model Demo with Hugging Face Spaces") | |
| user_input = st.text_input("Enter your input here:") | |
| if user_input: | |
| result = model_pipeline(user_input) | |
| st.write("Output:", result) |