File size: 450 Bytes
2ec0a44 99edd2c 2ec0a44 99edd2c daeb2f3 99edd2c 2ec0a44 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 |
import streamlit as st
from transformers import pipeline
# Create a zero-shot classification pipeline
classifier = pipeline("zero-shot-classification", model="MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli")
# Candidate labels
candidate_labels = ["science", "technology", "history"]
# Sequence to classify
sequence_to_classify = st.text_input()
# Classify the sequence
output = classifier(sequence_to_classify, candidate_labels)
st.write(output)
|