  #: lib/cli/args.py:981 lib/cli/args.py:991
  msgid "model"
  msgstr "modelo"
  
  #: lib/cli/args.py:929
  msgid ""
  "Model directory. This is where the training data will be stored. You should "
  "always specify a new folder for new models. If starting a new model, select "
  "either an empty folder, or a folder which does not exist (which will be "
  "created). If continuing to train an existing model, specify the location of "
 
</s> remove #: lib/cli/args.py:929
 </s> add #: lib/cli/args.py:938 </s> remove #: lib/cli/args.py:941
 </s> add #: lib/cli/args.py:950 </s> remove #: lib/cli/args.py:1098
 </s> add #: lib/cli/args.py:1107 </s> remove #: lib/cli/args.py:1076
 </s> add #: lib/cli/args.py:1085 </s> remove #: lib/cli/args.py:777
 </s> add #: lib/cli/args.py:786
#: lib/cli/args.py:938
  #: lib/cli/args.py:981 lib/cli/args.py:991
  msgid "model"
  msgstr "modelo"
  
#: lib/cli/args.py:938
  msgid ""
  "Model directory. This is where the training data will be stored. You should "
  "always specify a new folder for new models. If starting a new model, select "
  "either an empty folder, or a folder which does not exist (which will be "
  "created). If continuing to train an existing model, specify the location of "
keep keep keep keep replace keep keep keep keep keep
 extract: Add batch processing mode 
locales/es/LC_MESSAGES/lib.cli.args.po