Advanced ML infrastructure and interface to load and run all Olaverse models
Project description
Olaverse Documentation
Welcome to the official developer documentation for the Olaverse SDK.
Olaverse is a unified Python package and developer interface designed to seamlessly integrate state-of-the-art African NLP features, Text-to-Speech (TTS) architecture, and Large Language Models (LLMs) into your applications.
📚 Full API Documentation is available at https://Olaverse-Labs.github.io/olaverse/
Key Capabilities
- 🗣️ Natural Language Processing: Accurate text diacritization (Yoruba, Igbo), Language Detection (covering 5 local languages), custom Byte-Level BPE tokenization, and robust PII masking.
- 🎙️ Speech Synthesis: End-to-End Text-to-Speech (TTS) pipelines to translate normalized text and restored tones into high-fidelity audio waveforms.
- 🧠 Large Language Models: Easy, memory-efficient inference interfaces for loading advanced domain-specific LLMs (like
LegalPeacefor legal contract reasoning). - 🌍 Global Utilities: Built-in constants, universal currency formatters, and generic
.wavaudio I/O tools.
Quick Install
pip install olaverse
Navigation
- NLP & Tokenization: Explore the
Tokenizer, Language Detection, Diacritization, and PII masking tools. - Speech Synthesis: Learn how to use the End-to-End
TTSPipelineand extend it with custom Acoustic models. - Language Models: Explore how to run large models like
LegalPeaceand the Neural language detector. - Global Utilities: Check out the built-in generic constants and audio utilities.
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