metadata

title: CPU Only Zero Shot Text Classification
emoji: 🏃
colorFrom: gray
colorTo: purple
sdk: gradio
sdk_version: 5.31.0
app_file: app.py
pinned: false
license: apache-2.0
short_description: ' CPU-only Zero-Shot Text Classification'

🏷️ Zero-Shot Text Classification

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🚀 Overview

Unlock zero-shot classification for any text—no fine-tuning required.
Define your own label set on the fly and see how well each label matches your input, powered by BART-MNLI on CPU.

AI buzzwords:
Natural Language Inference • Zero‐shot Learning • Transformer-based NLP • Real-time Inference • Edge Deployment • Cloud-native Demo

✨ Features

🔑 Feature	🔍 Description
🚀 Zero-Shot	Classify into arbitrary categories without task-specific data
⚡ CPU-Only Inference	Runs on free Hugging Face Spaces (2 vCPU / 16 GB RAM)
🎛️ Single vs. Multi-Label	Toggle between exclusive or overlapping labels
🎨 Interactive UI	Gradio Blocks with text input, label list, mode toggle, table
🔧 No Training Needed	Leverages pre-trained BART-MNLI via HF Transformers
☁️ Instant Deploy	Commit three files—Spaces auto-builds & hosts your demo

🏗️ How It Works

User Input – Paste any sentence or paragraph.
Label Definition – Enter comma-separated candidate labels (e.g. “Positive, Negative, Question”).
Model Inference – Pipeline computes entailment scores for each label.
Result Table – Display each label with its confidence score.

All done locally on the Space, ensuring privacy, zero API cost, and lightning speed.

🛠️ Local Development

git clone https://github.com/your-username/zero-shot-classifier.git
cd zero-shot-classifier
python3 -m venv venv && source venv/bin/activate
pip install -r requirements.txt
python app.py

## Latest Update

- Updated BART-MNLI model for better accuracy. - May 29, 2025 📝

**Website**: https://ghostainews.com/
**Discord**: https://discord.gg/BfA23aYz