stanfordnlp, Old French FileNotFoundError

gistfile1.txt

(cltk) AMAC02Z92FELVCG:cltkv1 kyle.p.johnson$ poetry run ipython
Python 3.7.5 (default, Oct 31 2019, 20:57:45) 
Type 'copyright', 'credits' or 'license' for more information
IPython 7.9.0 -- An enhanced Interactive Python. Type '?' for help.

In [1]: import stanfordnlp                                                      

In [2]: stanfordnlp.__version__                                                 
Out[2]: '0.2.0'

In [3]: stanfordnlp.download("fro")                                             
Using the default treebank "fro_srcmf" for language "fro".
Would you like to download the models for: fro_srcmf now? (Y/n)
y

Default download directory: /Users/kyle.p.johnson/stanfordnlp_resources
Hit enter to continue or type an alternate directory.


Downloading models for: fro_srcmf
Download location: /Users/kyle.p.johnson/stanfordnlp_resources/fro_srcmf_models.zip
100%|████████████████████████████████████████| 227M/227M [00:28<00:00, 8.05MB/s]

Download complete.  Models saved to: /Users/kyle.p.johnson/stanfordnlp_resources/fro_srcmf_models.zip
Extracting models file for: fro_srcmf
Cleaning up...Done.

In [4]: nlp = stanfordnlp.Pipeline(lang="fro")                                  
Use device: cpu
---
Loading: tokenize
With settings: 
{'model_path': '/Users/kyle.p.johnson/stanfordnlp_resources/fro_srcmf_models/fro_srcmf_tokenizer.pt', 'lang': 'fro', 'shorthand': 'fro_srcmf', 'mode': 'predict'}
---
Loading: pos
With settings: 
{'model_path': '/Users/kyle.p.johnson/stanfordnlp_resources/fro_srcmf_models/fro_srcmf_tagger.pt', 'pretrain_path': '/Users/kyle.p.johnson/stanfordnlp_resources/fro_srcmf_models/fro_srcmf.pretrain.pt', 'lang': 'fro', 'shorthand': 'fro_srcmf', 'mode': 'predict'}
---
Loading: lemma
With settings: 
{'model_path': '/Users/kyle.p.johnson/stanfordnlp_resources/fro_srcmf_models/fro_srcmf_lemmatizer.pt', 'lang': 'fro', 'shorthand': 'fro_srcmf', 'mode': 'predict'}
Cannot load model from /Users/kyle.p.johnson/stanfordnlp_resources/fro_srcmf_models/fro_srcmf_lemmatizer.pt
An exception has occurred, use %tb to see the full traceback.

SystemExit: 1

/Users/kyle.p.johnson/.pyenv/versions/3.7.5/envs/cltk/lib/python3.7/site-packages/IPython/core/interactiveshell.py:3334: UserWarning: To exit: use 'exit', 'quit', or Ctrl-D.
  warn("To exit: use 'exit', 'quit', or Ctrl-D.", stacklevel=1)

In [5]: %tb                                                                     
---------------------------------------------------------------------------
FileNotFoundError                         Traceback (most recent call last)
~/.pyenv/versions/3.7.5/envs/cltk/lib/python3.7/site-packages/stanfordnlp/models/lemma/trainer.py in load(self, filename, use_cuda)
    194         try:
--> 195             checkpoint = torch.load(filename, lambda storage, loc: storage)
    196         except BaseException:

~/.pyenv/versions/3.7.5/envs/cltk/lib/python3.7/site-packages/torch/serialization.py in load(f, map_location, pickle_module, **pickle_load_args)
    418         new_fd = True
--> 419         f = open(f, 'rb')
    420     elif (sys.version_info[0] == 3 and isinstance(f, pathlib.Path)):

FileNotFoundError: [Errno 2] No such file or directory: '/Users/kyle.p.johnson/stanfordnlp_resources/fro_srcmf_models/fro_srcmf_lemmatizer.pt'

During handling of the above exception, another exception occurred:

SystemExit                                Traceback (most recent call last)
<ipython-input-4-df3715e99198> in <module>
----> 1 nlp = stanfordnlp.Pipeline(lang="fro")

~/.pyenv/versions/3.7.5/envs/cltk/lib/python3.7/site-packages/stanfordnlp/pipeline/core.py in __init__(self, processors, lang, models_dir, treebank, use_gpu, **kwargs)
    121                 self.processors[processor_name] = NAME_TO_PROCESSOR_CLASS[processor_name](config=curr_processor_config,
    122                                                                                           pipeline=self,
--> 123                                                                                           use_gpu=self.use_gpu)
    124             except ProcessorRequirementsException as e:
    125                 # if there was a requirements issue, add it to list which will be printed at end

~/.pyenv/versions/3.7.5/envs/cltk/lib/python3.7/site-packages/stanfordnlp/pipeline/lemma_processor.py in __init__(self, config, pipeline, use_gpu)
     22         # run lemmatizer in identity mode
     23         self._use_identity = None
---> 24         super().__init__(config, pipeline, use_gpu)
     25 
     26     @property

~/.pyenv/versions/3.7.5/envs/cltk/lib/python3.7/site-packages/stanfordnlp/pipeline/processor.py in __init__(self, config, pipeline, use_gpu)
    100         self._trainer = None
    101         self._vocab = None
--> 102         self._set_up_model(config, use_gpu)
    103         # run set up process
    104         # build the final config for the processor

~/.pyenv/versions/3.7.5/envs/cltk/lib/python3.7/site-packages/stanfordnlp/pipeline/lemma_processor.py in _set_up_model(self, config, use_gpu)
     35         else:
     36             self._use_identity = False
---> 37             self._trainer = Trainer(model_file=config['model_path'], use_cuda=use_gpu)
     38 
     39     def _set_up_requires(self):

~/.pyenv/versions/3.7.5/envs/cltk/lib/python3.7/site-packages/stanfordnlp/models/lemma/trainer.py in __init__(self, args, vocab, emb_matrix, model_file, use_cuda)
     31         if model_file is not None:
     32             # load everything from file
---> 33             self.load(model_file, use_cuda)
     34         else:
     35             # build model from scratch

~/.pyenv/versions/3.7.5/envs/cltk/lib/python3.7/site-packages/stanfordnlp/models/lemma/trainer.py in load(self, filename, use_cuda)
    196         except BaseException:
    197             print("Cannot load model from {}".format(filename))
--> 198             sys.exit(1)
    199         self.args = checkpoint['config']
    200         self.word_dict, self.composite_dict = checkpoint['dicts']

SystemExit: 1