![]() With installation out of the way, the next step is to get some pretrained models. We recommend using a virtual environment to avoid version conflicts. You can install the TAO Toolkit with pip. Installing the TAO Toolkit and downloading pretrained modelsīefore installing the TAO Toolkit, make sure you have the following installed on your system:įor more information about installing nvidia-docker and docker, see Prerequisites. To follow along, download the Jupyter notebook. Exporting the fine-tuned model to NVIDIA Riva.Fine-tuning a pretrained speech transcription model.Installing the TAO Toolkit and get access to pretrained models.In this post, we cover the following topics: ![]() The TAO Toolkit supports both computer vision and conversational AI (ASR and NLP) use cases. To make this process even easier, the NVIDIA TAO Toolkit, which can cut down an engineering time frame of 80 weeks to 8 weeks. A common solution to this problem is to employ transfer learning. Ĭreating a new AI deep learning model from scratch is an extremely time– and resource-intensive process. For part 3, see Speech Recognition: Deploying Models to Production. For part 1, see Speech Recognition: Generating Accurate Transcriptions Using NVIDIA Riva. This post is part of a series about generating accurate speech transcription.
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