---
title: TextPeriod Summarization
emoji: 📉
colorFrom: green
colorTo: purple
sdk: gradio
sdk_version: 5.46.1
app_file: app.py
pinned: false
short_description: 'Model summarizes the time period the given text is about '
---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Task: text → time period buckets

Buckets: list the 8 labels

Training: SetFit on paraphrase-mpnet-base-v2, epochs/iterations, seed

Data: short note (tiny curated set; add examples per bucket)

Metrics: paste metrics.json

Limitations: relies on English cues & named events; may be uncertain on very short/ambiguous text

Usage snippet:
from setfit import SetFitModel
import numpy as np
m = SetFitModel.from_pretrained("DelaliScratchwerk/text-period-setfit")
labels = ["pre-1900","1900–1945","1946–1990","1991–2008","2009–2015","2016–2018","2019–2022","2023–present"]
x = "Schools went remote during the pandemic; everyone wore N95s and used Zoom."
p = np.asarray(m.predict_proba([x])[0])
print(labels[p.argmax()])