Instructions to use tarvico/sireiq_voice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tarvico/sireiq_voice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tarvico/sireiq_voice")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tarvico/sireiq_voice") model = AutoModelForSequenceClassification.from_pretrained("tarvico/sireiq_voice") - Notebooks
- Google Colab
- Kaggle
Nigeria Router Model
Nigeria Router Model is an AI-powered multilingual language and intent classification model designed to support intelligent routing within Nigerian digital services.
It identifies a user's language and communication intent, enabling multilingual automation, customer support workflows, conversational systems, and intelligent request routing across supported Nigerian languages.
The model provides classification predictions only. Final routing decisions and downstream actions should be handled by the consuming application.
Overview
- Multilingual language identification
- Intent classification
- Intelligent request routing
- Customer support automation
- Voice assistant integration
- Enterprise workflow support
Supported Languages
- English
- Nigerian Pidgin
- Hausa
- Yoruba
- Igbo
Documentation
This public repository intentionally excludes implementation details, training methodology, underlying model information, and deployment architecture.
Private technical documentation—including model training notes, architecture decisions, evaluation reports, and deployment configurations—is maintained separately within internal documentation.
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