Standardization and all-in-one version of the nvidia/stt_it_fastconformer_hybrid_large_pc
206
From the folder where the audio.wav is, run:
docker run --runtime=nvidia --gpus all -v ${PWD}:/home/docker -it gianpaolocoro/nvidia_stt_it_fastconformer_hybrid_large_pc:1.2 /bin/bash -c "export LD_LIBRARY_PATH=/usr/local/cuda-11.8/targets/x86_64-linux/lib:$LD_LIBRARY_PATH && python doasr_home.py /home/docker/audio.wav"
This is based on pytorch and is an all-in-one version. It was developed on a Linux Ubuntu 22.04 version endowed with a TitanXP graphic card.
Content type
Image
Digest
sha256:04313e0b7…
Size
11.6 GB
Last updated
over 1 year ago
docker pull gianpaolocoro/nvidia_stt_it_fastconformer_hybrid_large_pc:nvidia520_cuda11.8