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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+---
+# felguk-omni-v0: Audio-to-Text Conversion Model
+
+![Hugging Face Logo](https://huggingface.co/front/assets/huggingface_logo-noborder.svg)
+
+**Model Name:** felguk-omni-v0  
+**Type:** Audio-to-Text  
+**Download Method:** Nexa-SDK  
+
+---
+
+## Overview
+
+The `felguk-omni-v0` model is designed to convert audio inputs into text transcriptions with high accuracy. It leverages advanced deep learning techniques to understand and process spoken language across various domains and languages. This model is ideal for applications such as automatic speech recognition (ASR), transcription services, and voice command interfaces.
+
+## Features
+
+- **High Accuracy:** State-of-the-art performance in converting audio to text.
+- **Multilingual Support:** Capable of recognizing multiple languages.
+- **Real-Time Processing:** Optimized for low-latency transcription.
+- **Easy Integration:** Simple API access through Nexa-SDK.
+
+## Installation
+
+Before using the `felguk-omni-v0` model, ensure you have the Nexa-SDK installed. Follow the instructions below to set up your environment:
+
+### Prerequisites
+
+- Python 3.7 or later
+- Internet connection
+- Hugging Face account (optional but recommended)
+
+### Installing Nexa-SDK
+
+You can install the Nexa-SDK via pip:
+
+```bash
+pip install nexa-sdk