Echo12 Model Documentation

Introduction

Echo12 is an experimental Automatic Speech Recognition (ASR) model inspired by the Whisper model, incorporating advanced concepts from vision language models applied to audio. The current model is a newly initialized version and has not yet undergone training.

Architecture

The model is built using concepts from recent advancements in vision language models, adapted for audio processing. It includes features such as hybrid attention and tensor sharing, with recent updates addressing issues in these areas.

Training

The provided model is a "medium" sized version but remains untrained, functioning as a tabula rasa. Users interested in training this model will need to implement their own training datasets and routines.

Guide: Running Locally

1. Clone the Repository: Start by cloning the Echo12 repository from Hugging Face.
2. Install Dependencies: Use the provided script to install necessary dependencies.
3. Run the Model: Execute the script to initialize the model.
4. Recommended Hardware: For efficient performance, consider using cloud services with GPU support, such as AWS EC2 with NVIDIA GPUs or Google Cloud Platform.

License

Echo12 is distributed under the Apache 2.0 License, allowing for extensive freedom in use and modification, subject to the terms of the license.