ConfigError: 'Model bert_ner is not registered.'

[martbach]

Hello,

I am following your "tutorial", but after running your ner_evaluate.py and the model is downloaded this error occures:

deeppavlov.core.common.errors.ConfigError: 'Model bert_ner is not registered.'

What might be the case of this?

Thank you

[vikmary]

Sorry for a really long reply, is your issue still relevant?

What particular tutorial code did you follow? Can't reproduces the issue with

from deeppavlov import build_model

ner = build_model("./ner_bert_slav.json", download=True)
ner(["Это", "Берт", "из", "России"])

[bt2901]

Hello! I just got the same error. I'm on Windows, this is a fresh Python 3.7.3 environment. My actions are as follows:

python -m pip install --upgrade pip  # needed for cryptography
pip install deeppavlov==0.14.0
python -m deeppavlov install ner_ontonotes_bert_mult  # for bert-dp

I install deeppavlov==0.14.0 since more recent versions apparently do not work on Windows because of the uvloop dependency: https://github.com/deepmipt/DeepPavlov/issues/1467

After this, if I run python:

Python 3.7.3 (default, Apr 24 2019, 15:29:51) [MSC v.1915 64 bit (AMD64)] :: Anaconda, Inc. on win32

Warning:
This Python interpreter is in a conda environment, but the environment has
not been activated.  Libraries may fail to load.  To activate this environment
please see https://conda.io/activation

Type "help", "copyright", "credits" or "license" for more information.
>>> from deeppavlov import build_model
>>> ner = build_model("./ner_bert_slav.json", download=True)
2021-09-29 21:54:17.844 INFO in 'deeppavlov.core.data.utils'['utils'] at line 94: Downloading from http://files.deeppavlov.ai/deeppavlov_data/ner_bert_slav.tar.gz to C:\dev\bert_test\ner_bert_slav.tar.gz
2021-09-29 21:54:18.29 WARNING in 'deeppavlov.core.data.utils'['utils'] at line 115: Found a partial download C:\dev\bert_test\ner_bert_slav.tar.gz.part
  1%|▊                                                                                                                                    | 11.9M/1.98G [00:00<?, ?B/s]2021-09-29 21:54:18.61 WARNING in 'deeppavlov.core.data.utils'['utils'] at line 119: Download stopped abruptly, trying to resume from 11862016 to reach 1978104578
100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1.98G/1.98G [11:52<00:00, 2.78MB/s]
2021-09-29 22:06:10.274 INFO in 'deeppavlov.core.data.utils'['utils'] at line 268: Extracting C:\dev\bert_test\ner_bert_slav.tar.gz archive into C:\dev\bert_test\Slavic-BERT-NER
[nltk_data] Downloading package punkt to
[nltk_data]     C:\Users\bt\AppData\Roaming\nltk_data...
[nltk_data]   Package punkt is already up-to-date!
[nltk_data] Downloading package stopwords to
[nltk_data]     C:\Users\bt\AppData\Roaming\nltk_data...
[nltk_data]   Package stopwords is already up-to-date!
[nltk_data] Downloading package perluniprops to
[nltk_data]     C:\Users\bt\AppData\Roaming\nltk_data...
[nltk_data]   Package perluniprops is already up-to-date!
[nltk_data] Downloading package nonbreaking_prefixes to
[nltk_data]     C:\Users\bt\AppData\Roaming\nltk_data...
[nltk_data]   Package nonbreaking_prefixes is already up-to-date!
WARNING:tensorflow:From C:\Users\bt\dp\lib\site-packages\bert_dp\tokenization.py:125: The name tf.gfile.GFile is deprecated. Please use tf.io.gfile.GFile instead.

2021-09-29 22:09:04.9 INFO in 'deeppavlov.core.data.simple_vocab'['simple_vocab'] at line 115: [loading vocabulary from C:\dev\bert_test\Slavic-BERT-NER\ner_bert_slav\tag.dict]
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:\Users\bt\dp\lib\site-packages\deeppavlov\core\commands\infer.py", line 62, in build_model
    component = from_params(component_config, mode=mode, serialized=component_serialized)
  File "C:\Users\bt\dp\lib\site-packages\deeppavlov\core\common\params.py", line 95, in from_params
    obj = get_model(cls_name)
  File "C:\Users\bt\dp\lib\site-packages\deeppavlov\core\common\registry.py", line 70, in get_model
    raise ConfigError("Model {} is not registered.".format(name))
deeppavlov.core.common.errors.ConfigError: 'Model bert_ner is not registered.'

Note that I did not used requirements.txt since it gives me the following error:

pip install -r requirements.txt
Collecting git+https://github.com/deepmipt/bert.git@feat/multi_gpu (from -r requirements.txt (line 1))
  Cloning https://github.com/deepmipt/bert.git (to revision feat/multi_gpu) to c:\users\bt\appdata\local\temp\pip-req-build-u_1db_bi
  Running command git clone -q https://github.com/deepmipt/bert.git 'C:\Users\bt\AppData\Local\Temp\pip-req-build-u_1db_bi'
  Resolved https://github.com/deepmipt/bert.git to commit 741d9bed9d52c6a9409ca27d8bf284615645618b
Collecting deeppavlov==0.3.0
  Downloading deeppavlov-0.3.0-py3-none-any.whl (677 kB)
     |████████████████████████████████| 677 kB 939 kB/s
ERROR: Could not find a version that satisfies the requirement tensorflow==1.10.0 (from versions: 1.13.0rc1, 1.13.0rc2, 1.13.1, 1.13.2, 1.14.0rc0, 1.14.0rc1, 1.14.0, 1.15.0rc0, 1.15.0rc1, 1.15.0rc2, 1.15.0rc3, 1.15.0, 1.15.2, 1.15.3, 1.15.4, 1.15.5, 2.0.0a0, 2.0.0b0, 2.0.0b1, 2.0.0rc0, 2.0.0rc1, 2.0.0rc2, 2.0.0, 2.0.1, 2.0.2, 2.0.3, 2.0.4, 2.1.0rc0, 2.1.0rc1, 2.1.0rc2, 2.1.0, 2.1.1, 2.1.2, 2.1.3, 2.1.4, 2.2.0rc0, 2.2.0rc1, 2.2.0rc2, 2.2.0rc3, 2.2.0rc4, 2.2.0, 2.2.1, 2.2.2, 2.2.3, 2.3.0rc0, 2.3.0rc1, 2.3.0rc2, 2.3.0, 2.3.1, 2.3.2, 2.3.3, 2.3.4, 2.4.0rc0, 2.4.0rc1, 2.4.0rc2, 2.4.0rc3, 2.4.0rc4, 2.4.0, 2.4.1, 2.4.2, 2.4.3, 2.5.0rc0, 2.5.0rc1, 2.5.0rc2, 2.5.0rc3, 2.5.0, 2.5.1, 2.6.0rc0, 2.6.0rc1, 2.6.0rc2, 2.6.0)
ERROR: No matching distribution found for tensorflow==1.10.0

[645187919]

hello,i get some error,who can help me ?

[vikmary]

The 'Model bert_ner is not registered' issue seems to be related to changes brought by versions of deeppavlov newer than 0.3.0. The repo wasn't intended to work for them. Since there are quite a few people facing the problem, the Slavic-BERT-NER repo has been updated to support the latest deeppavlov==0.17.2. It now supports both Python3.6 and Python3.7 .

@bt2901 Your issue should be fixed with the latest updates.

@645187919 Do you get the error 'Model bert_ner is not registered'? Can you share:

• Python version you use
• versions of deeppavlov,tensorflow