Automatic Speech Recognition
NeMo
Finnish
asr
speech-recognition
canary-v2
kenlm
finnish
Eval Results (legacy)
Instructions to use RASMUS/Finnish-ASR-Canary-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use RASMUS/Finnish-ASR-Canary-v2 with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("RASMUS/Finnish-ASR-Canary-v2") transcriptions = asr_model.transcribe(["file.wav"]) - Notebooks
- Google Colab
- Kaggle
File size: 1,207 Bytes
cde7fe4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | # Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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#!/bin/bash
# example slurm script for training diffusion
#SBATCH -p your_partition -A your_account -t 24:00:00 --nodes=16 --exclusive --mem=0 --overcommit --gpus-per-node 8 --ntasks-per-node=8 --dependency=singleton
export WANDB_PROJECT=xxx
export WANDB_RUN_ID=xxx
export WANDB_RESUME=allow
export CUDA_DEVICE_MAX_CONNECTIONS=1
export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
DIR=`pwd`
srun -l --container-image nvcr.io/nvidia/nemo:dev --container-mounts "/home:/home" --no-container-mount-home --mpi=pmix bash -c "cd ${DIR} ; python -u nemo/collections/diffusion/train.py --yes $*"
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