Unable to load pre-trained model

Hi

I’m trying to use a pre-trained model for NER,and once the model got downloaded, I’m getting the below issue.

from deeppavlov import configs, build_model

ner_model = build_model(configs.ner.ner_ontonotes_bert, download=True)

2020-02-18 17:45:34.88 ERROR in 'deeppavlov.core.common.params'['params'] at line 112: Exception in <class 'deeppavlov.models.preprocessors.bert_preprocessor.BertNerPreprocessor'>
Traceback (most recent call last):
  File "C:\Users\mchandra\AppData\Local\Continuum\anaconda3\lib\site-packages\deeppavlov\core\common\params.py", line 106, in from_params
    component = obj(**dict(config_params, **kwargs))
  File "C:\Users\mchandra\AppData\Local\Continuum\anaconda3\lib\site-packages\deeppavlov\models\preprocessors\bert_preprocessor.py", line 119, in __init__
    do_lower_case=do_lower_case)
  File "C:\Users\mchandra\AppData\Local\Continuum\anaconda3\lib\site-packages\bert_dp\tokenization.py", line 165, in __init__
    self.vocab = load_vocab(vocab_file)
  File "C:\Users\mchandra\AppData\Local\Continuum\anaconda3\lib\site-packages\bert_dp\tokenization.py", line 127, in load_vocab
    token = convert_to_unicode(reader.readline())
  File "C:\Users\mchandra\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 178, in readline
    self._preread_check()
  File "C:\Users\mchandra\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\lib\io\file_io.py", line 84, in _preread_check
    compat.as_bytes(self.__name), 1024 * 512)
tensorflow.python.framework.errors_impl.NotFoundError: NewRandomAccessFile failed to Create/Open: C:\Users\mchandra\.deeppavlov\downloads\bert_models\cased_L-12_H-768_A-12\vocab.txt : The system cannot find the file specified.
; No such file or directory
---------------------------------------------------------------------------
NotFoundError                             Traceback (most recent call last)
<ipython-input-5-f2cfbde6d24a> in <module>
      1 from deeppavlov import configs, build_model
      2 
----> 3 ner_model = build_model(configs.ner.ner_ontonotes_bert, download=False)

~\AppData\Local\Continuum\anaconda3\lib\site-packages\deeppavlov\core\commands\infer.py in build_model(config, mode, load_trained, download, serialized)
     59             component_serialized = None
     60 
---> 61         component = from_params(component_config, mode=mode, serialized=component_serialized)
     62 
     63         if 'id' in component_config:

~\AppData\Local\Continuum\anaconda3\lib\site-packages\deeppavlov\core\common\params.py in from_params(params, mode, serialized, **kwargs)
    104                 kwargs['mode'] = mode
    105 
--> 106             component = obj(**dict(config_params, **kwargs))
    107             try:
    108                 _refs[config_params['id']] = component

~\AppData\Local\Continuum\anaconda3\lib\site-packages\deeppavlov\models\preprocessors\bert_preprocessor.py in __init__(self, vocab_file, do_lower_case, max_seq_length, max_subword_length, token_masking_prob, provide_subword_tags, subword_mask_mode, **kwargs)
    117         vocab_file = str(expand_path(vocab_file))
    118         self.tokenizer = FullTokenizer(vocab_file=vocab_file,
--> 119                                        do_lower_case=do_lower_case)
    120         self.token_masking_prob = token_masking_prob
    121 

~\AppData\Local\Continuum\anaconda3\lib\site-packages\bert_dp\tokenization.py in __init__(self, vocab_file, do_lower_case)
    163 
    164   def __init__(self, vocab_file, do_lower_case=True):
--> 165     self.vocab = load_vocab(vocab_file)
    166     self.inv_vocab = {v: k for k, v in self.vocab.items()}
    167     self.basic_tokenizer = BasicTokenizer(do_lower_case=do_lower_case)

~\AppData\Local\Continuum\anaconda3\lib\site-packages\bert_dp\tokenization.py in load_vocab(vocab_file)
    125   with tf.gfile.GFile(vocab_file, "r") as reader:
    126     while True:
--> 127       token = convert_to_unicode(reader.readline())
    128       if not token:
    129         break

~\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\lib\io\file_io.py in readline(self)
    176   def readline(self):
    177     r"""Reads the next line from the file. Leaves the '\n' at the end."""
--> 178     self._preread_check()
    179     return self._prepare_value(self._read_buf.ReadLineAsString())
    180 

~\AppData\Local\Continuum\anaconda3\lib\site-packages\tensorflow\python\lib\io\file_io.py in _preread_check(self)
     82                                            "File isn't open for reading")
     83       self._read_buf = pywrap_tensorflow.CreateBufferedInputStream(
---> 84           compat.as_bytes(self.__name), 1024 * 512)
     85 
     86   def _prewrite_check(self):

NotFoundError: NewRandomAccessFile failed to Create/Open: C:\Users\mchandra\.deeppavlov\downloads\bert_models\cased_L-12_H-768_A-12\vocab.txt : The system cannot find the file specified.
; No such file or directory

Can you please let me the way of fixing this, I used ner_ontonotes as well but its working fine,have the problem with bert models.

Thanks in advance.

[yoptar]

Not everything is downloaded. For some reason the BERT model is not. You can try and download it yourself: http://files.deeppavlov.ai/deeppavlov_data/bert/cased_L-12_H-768_A-12.zip And then extract the directory in C:\Users\mchandra\.deeppavlov\downloads\bert_models

[yoptar]

Hi @RAVANv2, This is not an error message. It shows that you already have the required files and that their hashes match those of requested files on the server.