Keshav0308/multilingual-topic-classifier

🌍 Multilingual Topic Classifier

A multilingual text classification model fine-tuned on the SIB-200 dataset, capable of classifying text into 7 topics across 205 languages.

Model Details

• —Base model: xlm-roberta-base
• —Task: Text Classification (Topic)
• —Languages: 205
• —Developed by: Keshav0308

Topics

Performance

Usage

from transformers import pipeline

classifier = pipeline(
    "text-classification",
    model="Keshav0308/multilingual-topic-classifier"
)

# Works in any language!
classifier("The patient was diagnosed with pneumonia.")
# {'label': 'health', 'score': 0.999}

classifier("El equipo ganó el campeonato mundial de fútbol.")
# {'label': 'sports', 'score': 0.999}

Training Data

Fine-tuned on SIB-200 — a massively multilingual dataset with 205 languages.

• —Train samples: 143,705
• —Validation samples: 20,295
• —Test samples: 41,820