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
| # 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, | |
| # 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. | |
| from nemo.export.utils.lora_converter import convert_lora_nemo_to_canonical | |
| from nemo.export.utils.model_loader import ( | |
| load_model_weights, | |
| load_sharded_metadata_torch_dist, | |
| load_sharded_metadata_zarr, | |
| nemo_to_path, | |
| ) | |
| from nemo.export.utils.utils import ( | |
| get_example_inputs, | |
| get_model_device_type, | |
| is_nemo2_checkpoint, | |
| is_nemo_tarfile, | |
| prepare_directory_for_export, | |
| torch_dtype_from_precision, | |
| validate_fp8_network, | |
| ) | |
| __all__ = [ | |
| "convert_lora_nemo_to_canonical", | |
| "load_model_weights", | |
| "load_sharded_metadata_torch_dist", | |
| "load_sharded_metadata_zarr", | |
| "nemo_to_path", | |
| "is_nemo2_checkpoint", | |
| "is_nemo_tarfile", | |
| "prepare_directory_for_export", | |
| "torch_dtype_from_precision", | |
| "get_model_device_type", | |
| "get_example_inputs", | |
| "validate_fp8_network", | |
| ] | |