File size: 1,089 Bytes
4c1a3ff 2d1bd3a 4c1a3ff dae1a39 4c1a3ff dae1a39 4c1a3ff dae1a39 4c1a3ff 4fd2e54 dae1a39 4fd2e54 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 |
import streamlit as st
from transformers import pipeline
classifier = pipeline("token-classification", model="hf-internal-testing/tiny-bert-for-token-classification")
def main():
st.title("Token classification")
with st.form("text_field"):
text = st.text_area('enter some text:')
# clicked==True only when the button is clicked
clicked = st.form_submit_button("Submit")
if clicked:
results = classifier([text])
st.json(results)
if __name__ == "__main__":
main()
"""'audio-classification', 'automatic-speech-recognition', 'conversational', 'document-question-answering', 'feature-extraction', 'fill-mask', 'image-classification', 'image-segmentation', 'image-to-text', 'ner', 'object-detection', 'question-answering', 'sentiment-analysis', 'summarization', 'table-question-answering', 'text-classification', 'text-generation', 'text2text-generation', 'token-classification', 'translation', 'visual-question-answering', 'vqa', 'zero-shot-classification', 'zero-shot-image-classification', 'translation_XX_to_YY'""" |