Nigeria Router Model

A multilingual text classification model for Nigerian user routing systems.

This model predicts:

  1. User language
  2. User intent

Combined labels examples:

  • en_check_balance
  • pcm_check_balance
  • ha_transfer
  • yo_transfer
  • ig_check_balance

Supported Languages

  • English (en)
  • Nigerian Pidgin (pcm)
  • Hausa (ha)
  • Yoruba (yo)
  • Igbo (ig)

Supported Intents

  • check_balance
  • transfer

Base Model

Fine-tuned from:

  • distilbert-base-multilingual-cased

Use Case

Designed for:

  • Voice assistants
  • Customer support bots
  • Banking chatbots
  • Language routing systems
  • Multilingual automation in Nigeria

Quick Start

from transformers import pipeline

clf = pipeline(
    "text-classification",
    model="YOUR_USERNAME/nigeria-router-model"
)

print(clf("abeg check my balance"))
Downloads last month
38
Safetensors
Model size
0.1B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support