Flair: Sentiment analysis pipeline not working

[happypanda5]

The sentiment analysis pipeline is not working and returns the following error. I saw that you have set different filename for the model (GH-1841: fix sentiment model for transformers 3.1 ) but it hasn't been pushed to pip install flair.

Until this is updated to pip, can you please guide me how to install flair using the git repository?

/usr/local/lib/python3.6/dist-packages/transformers/configuration_utils.py in use_return_dict(self)
217 """
218 # If torchscript is set, force return_dict=False to avoid jit errors
--> 219 return self.return_dict and not self.torchscript
220
221 @property

AttributeError: 'DistilBertConfig' object has no attribute 'return_dict'

[alanakbik]

You can install from master using this command:

~
pip install --upgrade git+https://github.com/flairNLP/flair.git
~

[happypanda5]

Thanks, closing the issue

[niduttnb]

For the same Issue i am getting the following error even after downloading flair from master copy:

classifier = TextClassifier.load('en-sentiment')
2020-09-09 20:31:30,937 https://nlp.informatik.hu-berlin.de/resources/models/sentiment-curated-distilbert/sentiment-en-mix-distillbert_3.1.pt not found in cache, downloading to C:\Users\nidut\AppData\Local\Temp\tmpg4qk62lx
100%|█████████████████████████████████████████████████████████████████| 266147697/266147697 [18:33<00:00, 238942.00B/s]
2020-09-09 20:50:05,633 copying C:\Users\nidut\AppData\Local\Temp\tmpg4qk62lx to cache at C:\Users\nidut\.flair\models\sentiment-en-mix-distillbert_3.1.pt

2020-09-09 20:50:06,118 removing temp file C:\Users\nidut\AppData\Local\Temp\tmpg4qk62lx
2020-09-09 20:50:06,153 loading file C:\Users\nidut\.flair\models\sentiment-en-mix-distillbert_3.1.pt
---------------------------------------------------------------------------
UnpicklingError                           Traceback (most recent call last)
<ipython-input-3-f517a501f1cf> in <module>
----> 1 classifier = TextClassifier.load('en-sentiment')

d:\python\lib\site-packages\flair\nn.py in load(cls, model)
     86             # see https://github.com/zalandoresearch/flair/issues/351
     87             f = file_utils.load_big_file(str(model_file))
---> 88             state = torch.load(f, map_location='cpu')
     89 
     90         model = cls._init_model_with_state_dict(state)

d:\python\lib\site-packages\torch\serialization.py in load(f, map_location, pickle_module, **pickle_load_args)
    424         if sys.version_info >= (3, 0) and 'encoding' not in pickle_load_args.keys():
    425             pickle_load_args['encoding'] = 'utf-8'
--> 426         return _load(f, map_location, pickle_module, **pickle_load_args)
    427     finally:
    428         if new_fd:

d:\python\lib\site-packages\torch\serialization.py in _load(f, map_location, pickle_module, **pickle_load_args)
    601             f.seek(0)
    602 
--> 603     magic_number = pickle_module.load(f, **pickle_load_args)
    604     if magic_number != MAGIC_NUMBER:
    605         raise RuntimeError("Invalid magic number; corrupt file?")

UnpicklingError: A load persistent id instruction was encountered,
but no persistent_load function was specified.