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: 1,385 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 30 31 32 33 34 35 36 37 38 | # Copyright (c) 2020, 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,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
class NeMoBaseException(Exception):
""" NeMo Base Exception. All exceptions created in NeMo should inherit from this class"""
class LightningNotInstalledException(NeMoBaseException):
def __init__(self, obj):
message = (
f" You are trying to use {obj} without installing all of pytorch_lightning, hydra, and "
f"omegaconf. Please install those packages before trying to access {obj}."
)
super().__init__(message)
class CheckInstall:
def __init__(self, *args, **kwargs):
raise LightningNotInstalledException(self)
def __call__(self, *args, **kwargs):
raise LightningNotInstalledException(self)
def __getattr__(self, *args, **kwargs):
raise LightningNotInstalledException(self)
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