can't load word2vec model when running example code #33

Open
Open
can't load word2vec model when running example code#33

Description

@estathop
estathop
opened on Jul 24, 2018

I am trying to execute the LSTM to LSTM auto-encoder with word embedding (RNN to RNN architecture) example. I have already trained my own word2vec model via gensim and saved it with the command
model.save('/home/estathop/Documents/word2vecmodel/w2v1model') #save model
when trying to use the

# load Gensim word2vec from word2vec_model_path
word2vec = GensimWord2vec('/home/estathop/Documents/word2vecmodel/w2v1model')

the following error occurs:

Traceback (most recent call last):

File "", line 5, in
word2vec = GensimWord2vec('/home/estathop/Documents/word2vecmodel/w2v1model')

File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/word2vec/gensim_word2vec.py", line 9, in init
model_path, binary=True

File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/models/keyedvectors.py", line 1120, in load_word2vec_format
limit=limit, datatype=datatype)

File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/models/utils_any2vec.py", line 174, in _load_word2vec_format
header = utils.to_unicode(fin.readline(), encoding=encoding)

File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/utils.py", line 359, in any2unicode
return unicode(text, encoding, errors=errors)

File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/encodings/utf_8.py", line 16, in decode
return codecs.utf_8_decode(input, errors, True)

UnicodeDecodeError: 'utf8' codec can't decode byte 0x80 in position 0: invalid start byte

any ideas how to fix/bypass this ?

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var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

      Skip to content
      can't load word2vec model when running example code #33
      Open
      Open
      can't load word2vec model when running example code#33
      Description
      @estathop
      estathop
      opened on Jul 24, 2018
      I am trying to execute the LSTM to LSTM auto-encoder with word embedding (RNN to RNN architecture) example. I have already trained my own word2vec model via gensim and saved it with the command
      model.save('/home/estathop/Documents/word2vecmodel/w2v1model') #save model
      
when trying to use the
      # load Gensim word2vec from word2vec_model_path
word2vec = GensimWord2vec('/home/estathop/Documents/word2vecmodel/w2v1model')

      the following error occurs:
      Traceback (most recent call last):
      File "", line 5, in 
      
word2vec = GensimWord2vec('/home/estathop/Documents/word2vecmodel/w2v1model')
      File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/word2vec/gensim_word2vec.py", line 9, in init
      
model_path, binary=True
      File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/models/keyedvectors.py", line 1120, in load_word2vec_format
      
limit=limit, datatype=datatype)
      File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/models/utils_any2vec.py", line 174, in _load_word2vec_format
      
header = utils.to_unicode(fin.readline(), encoding=encoding)
      File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/utils.py", line 359, in any2unicode
      
return unicode(text, encoding, errors=errors)
      File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/encodings/utf_8.py", line 16, in decode
      
return codecs.utf_8_decode(input, errors, True)
      UnicodeDecodeError: 'utf8' codec can't decode byte 0x80 in position 0: invalid start byte
      any ideas how to fix/bypass this ?
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, 'i');
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var __m = "*";
var __re = new RegExp('^' + ".*" + '

          Skip to content
          can't load word2vec model when running example code #33
          Open
          Open
          can't load word2vec model when running example code#33
          Description
          @estathop
          estathop
          opened on Jul 24, 2018
          I am trying to execute the LSTM to LSTM auto-encoder with word embedding (RNN to RNN architecture) example. I have already trained my own word2vec model via gensim and saved it with the command
          model.save('/home/estathop/Documents/word2vecmodel/w2v1model') #save model
          
when trying to use the
          # load Gensim word2vec from word2vec_model_path
word2vec = GensimWord2vec('/home/estathop/Documents/word2vecmodel/w2v1model')

          the following error occurs:
          Traceback (most recent call last):
          File "", line 5, in 
          
word2vec = GensimWord2vec('/home/estathop/Documents/word2vecmodel/w2v1model')
          File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/word2vec/gensim_word2vec.py", line 9, in init
          
model_path, binary=True
          File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/models/keyedvectors.py", line 1120, in load_word2vec_format
          
limit=limit, datatype=datatype)
          File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/models/utils_any2vec.py", line 174, in _load_word2vec_format
          
header = utils.to_unicode(fin.readline(), encoding=encoding)
          File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/utils.py", line 359, in any2unicode
          
return unicode(text, encoding, errors=errors)
          File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/encodings/utf_8.py", line 16, in decode
          
return codecs.utf_8_decode(input, errors, True)
          UnicodeDecodeError: 'utf8' codec can't decode byte 0x80 in position 0: invalid start byte
          any ideas how to fix/bypass this ?
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

              Skip to content
              can't load word2vec model when running example code #33
              Open
              Open
              can't load word2vec model when running example code#33
              Description
              @estathop
              estathop
              opened on Jul 24, 2018
              I am trying to execute the LSTM to LSTM auto-encoder with word embedding (RNN to RNN architecture) example. I have already trained my own word2vec model via gensim and saved it with the command
              model.save('/home/estathop/Documents/word2vecmodel/w2v1model') #save model
              
when trying to use the
              # load Gensim word2vec from word2vec_model_path
word2vec = GensimWord2vec('/home/estathop/Documents/word2vecmodel/w2v1model')

              the following error occurs:
              Traceback (most recent call last):
              File "", line 5, in 
              
word2vec = GensimWord2vec('/home/estathop/Documents/word2vecmodel/w2v1model')
              File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/word2vec/gensim_word2vec.py", line 9, in init
              
model_path, binary=True
              File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/models/keyedvectors.py", line 1120, in load_word2vec_format
              
limit=limit, datatype=datatype)
              File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/models/utils_any2vec.py", line 174, in _load_word2vec_format
              
header = utils.to_unicode(fin.readline(), encoding=encoding)
              File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/utils.py", line 359, in any2unicode
              
return unicode(text, encoding, errors=errors)
              File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/encodings/utf_8.py", line 16, in decode
              
return codecs.utf_8_decode(input, errors, True)
              UnicodeDecodeError: 'utf8' codec can't decode byte 0x80 in position 0: invalid start byte
              any ideas how to fix/bypass this ?
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

                  Skip to content
                  can't load word2vec model when running example code #33
                  Open
                  Open
                  can't load word2vec model when running example code#33
                  Description
                  @estathop
                  estathop
                  opened on Jul 24, 2018
                  I am trying to execute the LSTM to LSTM auto-encoder with word embedding (RNN to RNN architecture) example. I have already trained my own word2vec model via gensim and saved it with the command
                  model.save('/home/estathop/Documents/word2vecmodel/w2v1model') #save model
                  
when trying to use the
                  # load Gensim word2vec from word2vec_model_path
word2vec = GensimWord2vec('/home/estathop/Documents/word2vecmodel/w2v1model')

                  the following error occurs:
                  Traceback (most recent call last):
                  File "", line 5, in 
                  
word2vec = GensimWord2vec('/home/estathop/Documents/word2vecmodel/w2v1model')
                  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/word2vec/gensim_word2vec.py", line 9, in init
                  
model_path, binary=True
                  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/models/keyedvectors.py", line 1120, in load_word2vec_format
                  
limit=limit, datatype=datatype)
                  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/models/utils_any2vec.py", line 174, in _load_word2vec_format
                  
header = utils.to_unicode(fin.readline(), encoding=encoding)
                  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/utils.py", line 359, in any2unicode
                  
return unicode(text, encoding, errors=errors)
                  File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/encodings/utf_8.py", line 16, in decode
                  
return codecs.utf_8_decode(input, errors, True)
                  UnicodeDecodeError: 'utf8' codec can't decode byte 0x80 in position 0: invalid start byte
                  any ideas how to fix/bypass this ?
                  Metadata
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

                      Skip to content
                      can't load word2vec model when running example code #33
                      Open
                      Open
                      can't load word2vec model when running example code#33
                      Description
                      @estathop
                      estathop
                      opened on Jul 24, 2018
                      I am trying to execute the LSTM to LSTM auto-encoder with word embedding (RNN to RNN architecture) example. I have already trained my own word2vec model via gensim and saved it with the command
                      model.save('/home/estathop/Documents/word2vecmodel/w2v1model') #save model
                      
when trying to use the
                      # load Gensim word2vec from word2vec_model_path
word2vec = GensimWord2vec('/home/estathop/Documents/word2vecmodel/w2v1model')

                      the following error occurs:
                      Traceback (most recent call last):
                      File "", line 5, in 
                      
word2vec = GensimWord2vec('/home/estathop/Documents/word2vecmodel/w2v1model')
                      File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/word2vec/gensim_word2vec.py", line 9, in init
                      
model_path, binary=True
                      File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/models/keyedvectors.py", line 1120, in load_word2vec_format
                      
limit=limit, datatype=datatype)
                      File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/models/utils_any2vec.py", line 174, in _load_word2vec_format
                      
header = utils.to_unicode(fin.readline(), encoding=encoding)
                      File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/utils.py", line 359, in any2unicode
                      
return unicode(text, encoding, errors=errors)
                      File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/encodings/utf_8.py", line 16, in decode
                      
return codecs.utf_8_decode(input, errors, True)
                      UnicodeDecodeError: 'utf8' codec can't decode byte 0x80 in position 0: invalid start byte
                      any ideas how to fix/bypass this ?
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

                          Skip to content
                          can't load word2vec model when running example code #33
                          Open
                          Open
                          can't load word2vec model when running example code#33
                          Description
                          @estathop
                          estathop
                          opened on Jul 24, 2018
                          I am trying to execute the LSTM to LSTM auto-encoder with word embedding (RNN to RNN architecture) example. I have already trained my own word2vec model via gensim and saved it with the command
                          model.save('/home/estathop/Documents/word2vecmodel/w2v1model') #save model
                          
when trying to use the
                          # load Gensim word2vec from word2vec_model_path
word2vec = GensimWord2vec('/home/estathop/Documents/word2vecmodel/w2v1model')

                          the following error occurs:
                          Traceback (most recent call last):
                          File "", line 5, in 
                          
word2vec = GensimWord2vec('/home/estathop/Documents/word2vecmodel/w2v1model')
                          File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/word2vec/gensim_word2vec.py", line 9, in init
                          
model_path, binary=True
                          File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/models/keyedvectors.py", line 1120, in load_word2vec_format
                          
limit=limit, datatype=datatype)
                          File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/models/utils_any2vec.py", line 174, in _load_word2vec_format
                          
header = utils.to_unicode(fin.readline(), encoding=encoding)
                          File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/utils.py", line 359, in any2unicode
                          
return unicode(text, encoding, errors=errors)
                          File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/encodings/utf_8.py", line 16, in decode
                          
return codecs.utf_8_decode(input, errors, True)
                          UnicodeDecodeError: 'utf8' codec can't decode byte 0x80 in position 0: invalid start byte
                          any ideas how to fix/bypass this ?
                          Metadata
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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                              can't load word2vec model when running example code #33
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                              can't load word2vec model when running example code#33
                              Description
                              @estathop
                              estathop
                              opened on Jul 24, 2018
                              I am trying to execute the LSTM to LSTM auto-encoder with word embedding (RNN to RNN architecture) example. I have already trained my own word2vec model via gensim and saved it with the command
                              model.save('/home/estathop/Documents/word2vecmodel/w2v1model') #save model
                              
when trying to use the
                              # load Gensim word2vec from word2vec_model_path
word2vec = GensimWord2vec('/home/estathop/Documents/word2vecmodel/w2v1model')

                              the following error occurs:
                              Traceback (most recent call last):
                              File "", line 5, in 
                              
word2vec = GensimWord2vec('/home/estathop/Documents/word2vecmodel/w2v1model')
                              File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/word2vec/gensim_word2vec.py", line 9, in init
                              
model_path, binary=True
                              File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/models/keyedvectors.py", line 1120, in load_word2vec_format
                              
limit=limit, datatype=datatype)
                              File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/models/utils_any2vec.py", line 174, in _load_word2vec_format
                              
header = utils.to_unicode(fin.readline(), encoding=encoding)
                              File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/gensim/utils.py", line 359, in any2unicode
                              
return unicode(text, encoding, errors=errors)
                              File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/encodings/utf_8.py", line 16, in decode
                              
return codecs.utf_8_decode(input, errors, True)
                              UnicodeDecodeError: 'utf8' codec can't decode byte 0x80 in position 0: invalid start byte
                              any ideas how to fix/bypass this ?
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