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) 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. | |
| import logging as _logging | |
| from logging.handlers import MemoryHandler | |
| import lightning.pytorch as pl | |
| HANDLERS = {} | |
| PATCHED = False | |
| def add_memory_handlers_to_pl_logger(): | |
| """ | |
| Adds two MemoryHandlers to pytorch_lightning's logger. These two handlers are essentially message buffers. This | |
| function is called in nemo.utils.__init__.py. These handlers are used in add_filehandlers_to_pl_logger to flush | |
| buffered messages to files. | |
| """ | |
| if not HANDLERS: | |
| HANDLERS["memory_err"] = MemoryHandler(-1) | |
| HANDLERS["memory_err"].addFilter(lambda record: record.levelno > _logging.INFO) | |
| HANDLERS["memory_all"] = MemoryHandler(-1) | |
| pl._logger.addHandler(HANDLERS["memory_err"]) | |
| pl._logger.addHandler(HANDLERS["memory_all"]) | |
| def add_filehandlers_to_pl_logger(all_log_file, err_log_file): | |
| """ | |
| Adds two filehandlers to pytorch_lightning's logger. Called in nemo.utils.exp_manager(). The first filehandler | |
| logs all messages to all_log_file while the second filehandler logs all WARNING and higher messages to err_log_file. | |
| If "memory_err" and "memory_all" exist in HANDLERS, then those buffers are flushed to err_log_file and all_log_file | |
| respectively, and then closed. | |
| """ | |
| HANDLERS["file"] = _logging.FileHandler(all_log_file) | |
| pl._logger.addHandler(HANDLERS["file"]) | |
| HANDLERS["file_err"] = _logging.FileHandler(err_log_file) | |
| HANDLERS["file_err"].addFilter(lambda record: record.levelno > _logging.INFO) | |
| pl._logger.addHandler(HANDLERS["file_err"]) | |
| if HANDLERS.get("memory_all", None): | |
| HANDLERS["memory_all"].setTarget(HANDLERS["file"]) | |
| HANDLERS["memory_all"].close() | |
| del HANDLERS["memory_all"] | |
| if HANDLERS.get("memory_err", None): | |
| HANDLERS["memory_err"].setTarget(HANDLERS["file_err"]) | |
| HANDLERS["memory_err"].close() | |
| del HANDLERS["memory_err"] | |