parakeet-tdt-0.6b-v2 Model by NVIDIA

Getting Started

Riva uses gRPC APIs. Instructions below demonstrate usage of parakeet-tdt-0_6b-v2 model using Python gRPC client.

Prerequisites

You will need a system with Git and Python 3+ installed.

Install Riva Python Client

pip install -U nvidia-riva-client

Download Python Client

Download Python client code by cloning Python Client Repository.

git clone https://github.com/nvidia-riva/python-clients.git

Run Python Client

Open a command terminal and execute below command to transcribe audio. Make sure you have a speech file in 16-bit Mono format in WAV/OGG/OPUS container. If you have generated the API key, it will be auto-populated in the command.

Below command demonstrates transcription of English audio file.

python python-clients/scripts/asr/transcribe_file_offline.py \
    --server grpc.nvcf.nvidia.com:443 --use-ssl \
    --metadata function-id "d3fe9151-442b-4204-a70d-5fcc597fd610" \
    --metadata "authorization" "Bearer $NVIDIA_API_KEY" \
    --language-code en-US \
    --word-time-offsets --automatic-punctuation \
    --input-file <path_to_audio_file>

Support for gRPC clients in other programming languages

Riva uses gRPC APIs. Proto files can be downloaded from Riva gRPC Proto files and compiled to target language using Protoc compiler. Example Riva clients in C++ and Python languages are provided below.