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cfg
tokenizer
I tried to use the conformer model for speech recognition on kaggle notebook and got this error
conformer_model = nemo_asr.models.EncDecRNNTBPEModel.from_pretrained("nvidia/stt_zh_conformer_transducer_large") conformer_model.transcribe("output_audio_file.wav")
The full error log is as follows
[NeMo E 2025-02-02 11:30:31 common:529] Model instantiation failed! Target class: nemo.collections.asr.models.rnnt_models.EncDecRNNTModel Error(s): `cfg` must have `tokenizer` config to create a tokenizer ! Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/nemo/core/classes/common.py", line 508, in from_config_dict instance = imported_cls(cfg=config, trainer=trainer) File "/usr/local/lib/python3.10/dist-packages/nemo/collections/asr/models/rnnt_bpe_models.py", line 291, in __init__ raise ValueError("`cfg` must have `tokenizer` config to create a tokenizer !") ValueError: `cfg` must have `tokenizer` config to create a tokenizer ! --------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-9-f7a7cc612f3a> in <cell line: 1>() ----> 1 conformer_model = nemo_asr.models.EncDecRNNTBPEModel.from_pretrained("nvidia/stt_zh_conformer_transducer_large") 2 conformer_model.transcribe("output_audio_file.wav") /usr/local/lib/python3.10/dist-packages/nemo/core/classes/common.py in from_pretrained(cls, model_name, refresh_cache, override_config_path, map_location, strict, return_config, trainer, save_restore_connector, return_model_file) 763 return nemo_model_file_in_cache 764 --> 765 instance = class_.restore_from( 766 restore_path=nemo_model_file_in_cache, 767 override_config_path=override_config_path, /usr/local/lib/python3.10/dist-packages/nemo/core/classes/modelPT.py in restore_from(cls, restore_path, override_config_path, map_location, strict, return_config, save_restore_connector, trainer, validate_access_integrity) 472 473 cls.update_save_restore_connector(save_restore_connector) --> 474 instance = cls._save_restore_connector.restore_from( 475 cls, 476 restore_path, /usr/local/lib/python3.10/dist-packages/nemo/core/connectors/save_restore_connector.py in restore_from(self, calling_cls, restore_path, override_config_path, map_location, strict, return_config, trainer, validate_access_integrity) 258 # Get path where the command is executed - the artifacts will be "retrieved" there 259 # (original .nemo behavior) --> 260 loaded_params = self.load_config_and_state_dict( 261 calling_cls, 262 restore_path, /usr/local/lib/python3.10/dist-packages/nemo/core/connectors/save_restore_connector.py in load_config_and_state_dict(self, calling_cls, restore_path, override_config_path, map_location, strict, return_config, trainer, validate_access_integrity) 180 # get the class 181 calling_cls._set_model_restore_state(is_being_restored=True, folder=tmpdir) --> 182 instance = calling_cls.from_config_dict(config=conf, trainer=trainer) 183 instance = instance.to(map_location) 184 # add load_state_dict override /usr/local/lib/python3.10/dist-packages/nemo/core/classes/common.py in from_config_dict(cls, config, trainer) 528 if prev_error: 529 logging.error(prev_error) --> 530 raise e 531 532 if not hasattr(instance, '_cfg'): /usr/local/lib/python3.10/dist-packages/nemo/core/classes/common.py in from_config_dict(cls, config, trainer) 520 accepts_trainer = Serialization._inspect_signature_for_trainer(cls) 521 if accepts_trainer: --> 522 instance = cls(cfg=config, trainer=trainer) 523 else: 524 instance = cls(cfg=config) /usr/local/lib/python3.10/dist-packages/nemo/collections/asr/models/rnnt_bpe_models.py in __init__(self, cfg, trainer) 289 # Tokenizer is necessary for this model 290 if 'tokenizer' not in cfg: --> 291 raise ValueError("`cfg` must have `tokenizer` config to create a tokenizer !") 292 293 if not isinstance(cfg, DictConfig): ValueError: `cfg` must have `tokenizer` config to create a tokenizer !
Enviroment
Package Version Editable project location ---------------------------------- -------------------- ------------------------- absl-py 1.4.0 accelerate 1.2.1 aiobotocore 2.17.0 aiofiles 22.1.0 aiohappyeyeballs 2.4.4 aiohttp 3.11.10 aioitertools 0.12.0 aiosignal 1.3.2 aiosqlite 0.20.0 alabaster 1.0.0 albucore 0.0.19 albumentations 1.4.20 alembic 1.14.0 altair 5.5.0 annotated-types 0.7.0 annoy 1.17.3 ansicolors 1.1.8 antlr4-python3-runtime 4.9.3 anyio 3.7.1 argon2-cffi 23.1.0 argon2-cffi-bindings 21.2.0 args 0.1.0 array_record 0.5.1 arrow 1.3.0 arviz 0.20.0 astropy 6.1.7 astropy-iers-data 0.2024.12.16.0.35.48 asttokens 3.0.0 astunparse 1.6.3 async-timeout 4.0.3 atpublic 4.1.0 attrs 24.3.0 audioread 3.0.1 autograd 1.7.0 babel 2.16.0 backcall 0.2.0 bayesian-optimization 2.0.3 beautifulsoup4 4.12.3 bigframes 1.29.0 bigquery-magics 0.4.0 bleach 6.2.0 blinker 1.9.0 blis 0.7.11 blobfile 3.0.0 blosc2 2.7.1 bokeh 3.6.2 Boruta 0.4.3 boto3 1.35.93 botocore 1.35.93 Bottleneck 1.4.2 bq_helper 0.4.1 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markdown-it-py 3.0.0 MarkupSafe 3.0.2 marshmallow 3.24.2 matplotlib 3.7.5 matplotlib-inline 0.1.7 matplotlib-venn 1.1.1 mdit-py-plugins 0.4.2 mdurl 0.1.2 mediapy 1.1.6 miniKanren 1.0.3 missingno 0.5.2 mistune 0.8.4 mizani 0.13.1 mkl 2025.0.1 mkl-fft 1.3.8 mkl-random 1.2.4 mkl-service 2.4.1 mkl-umath 0.1.1 ml-dtypes 0.4.1 mlcrate 0.2.0 mlxtend 0.23.3 mne 1.9.0 more-itertools 10.5.0 moviepy 1.0.3 mpld3 0.5.10 mpmath 1.3.0 msgpack 1.1.0 multidict 6.1.0 multimethod 1.12 multipledispatch 1.0.0 multiprocess 0.70.16 multitasking 0.0.11 murmurhash 1.0.11 music21 9.3.0 mypy-extensions 1.0.0 namex 0.0.8 narwhals 1.18.4 natsort 8.4.0 nbclassic 1.1.0 nbclient 0.5.13 nbconvert 6.4.5 nbdev 2.3.34 nbformat 5.10.4 ndindex 1.9.2 nemo-toolkit 2.1.0 nest-asyncio 1.6.0 networkx 3.4.2 nibabel 5.3.2 nilearn 0.10.4 ninja 1.11.1.3 nltk 3.2.4 nose 1.3.7 notebook 6.5.4 notebook_shim 0.2.4 numba 0.60.0 numba-cuda 0.0.17.1 numexpr 2.10.2 numpy 1.26.4 nvidia-cublas-cu12 12.6.4.1 nvidia-cuda-cupti-cu12 12.6.80 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I tried to use the conformer model for speech recognition on kaggle notebook and got this error
The full error log is as follows
Enviroment
The text was updated successfully, but these errors were encountered: