metadata
title: Zero Short Text Classification
emoji: 🐠
colorFrom: red
colorTo: blue
sdk: gradio
sdk_version: 5.34.1
app_file: app.py
pinned: false
license: mit
short_description: Zero-shot classification means no training data is needed.
🔍 Zero-Shot Text Classification with BART and XLM-RoBERTa
This Hugging Face Space is inspired by the article:
🔗 Zero-Shot Text Classification with BART and XLM-RoBERTa – C# Corner
💡 What this app does:
- Takes any raw text input.
- Accepts user-defined labels (comma-separated).
- Uses Hugging Face's
pipeline("zero-shot-classification")to predict the most relevant label(s) using:- facebook/bart-large-mnli or
- joeddav/xlm-roberta-large-xnli
📦 Models Supported
facebook/bart-large-mnli(English only)joeddav/xlm-roberta-large-xnli(Multilingual)
✅ Use Cases
- Categorizing feedback, support tickets, news headlines, etc.
- Works without any custom training — zero-shot!
🛠 How it Works
The model is prompted with your text and list of labels. It computes the probability of each label being appropriate, and returns scores.
Read the full article here:
👉 https://www.c-sharpcorner.com/article/zero-shot-text-classification-with-bart-and-xlm-roberta/