Cant run hugging face model

[jomiguelcarv]

Hey! Thanks for this work, brilliant! Im trying to run your model on a macbook m1 (no cuda) with following code:

from accord_nlp.text_classification.ner.ner_model import NERModel
model = NERModel('roberta', 'ACCORD-NLP/ner-roberta-large', use_cuda=False)
predictions, raw_outputs = model.predict(['The gradient of the passageway should not exceed five per cent.'])
print(predictions)

But get this error:

Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/opt/homebrew/Cellar/python@3.10/3.10.14_1/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "/opt/homebrew/Cellar/python@3.10/3.10.14_1/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/spawn.py", line 125, in _main
    prepare(preparation_data)
  File "/opt/homebrew/Cellar/python@3.10/3.10.14_1/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "/opt/homebrew/Cellar/python@3.10/3.10.14_1/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/spawn.py", line 287, in _fixup_main_from_path
    main_content = runpy.run_path(main_path,
  File "/opt/homebrew/Cellar/python@3.10/3.10.14_1/Frameworks/Python.framework/Versions/3.10/lib/python3.10/runpy.py", line 289, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "/opt/homebrew/Cellar/python@3.10/3.10.14_1/Frameworks/Python.framework/Versions/3.10/lib/python3.10/runpy.py", line 96, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "/opt/homebrew/Cellar/python@3.10/3.10.14_1/Frameworks/Python.framework/Versions/3.10/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/Users/joaosilva/Desktop/RGEU-Graph/infere.py", line 6, in <module>
    predictions, raw_outputs = model.predict(['The gradient of the passageway should not exceed five per cent.'])
  File "/Users/joaosilva/Desktop/Grasshopper/IAAC/GenerativeAI_2024/Agent_Notebooks/agent_env/lib/python3.10/site-packages/accord_nlp/text_classification/ner/ner_model.py", line 977, in predict
    eval_dataset = self.load_and_cache_examples(None, to_predict=predict_examples)
  File "/Users/joaosilva/Desktop/Grasshopper/IAAC/GenerativeAI_2024/Agent_Notebooks/agent_env/lib/python3.10/site-packages/accord_nlp/text_classification/ner/ner_model.py", line 1187, in load_and_cache_examples
    features = convert_examples_to_features(
  File "/Users/joaosilva/Desktop/Grasshopper/IAAC/GenerativeAI_2024/Agent_Notebooks/agent_env/lib/python3.10/site-packages/accord_nlp/text_classification/ner/utils.py", line 340, in convert_examples_to_features
    with Pool(process_count) as p:
  File "/opt/homebrew/Cellar/python@3.10/3.10.14_1/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/context.py", line 119, in Pool
    return Pool(processes, initializer, initargs, maxtasksperchild,
  File "/opt/homebrew/Cellar/python@3.10/3.10.14_1/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/pool.py", line 215, in __init__
    self._repopulate_pool()
  File "/opt/homebrew/Cellar/python@3.10/3.10.14_1/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/pool.py", line 306, in _repopulate_pool
    return self._repopulate_pool_static(self._ctx, self.Process,
  File "/opt/homebrew/Cellar/python@3.10/3.10.14_1/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/pool.py", line 329, in _repopulate_pool_static
    w.start()
  File "/opt/homebrew/Cellar/python@3.10/3.10.14_1/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/process.py", line 121, in start
    self._popen = self._Popen(self)
  File "/opt/homebrew/Cellar/python@3.10/3.10.14_1/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/context.py", line 288, in _Popen
    return Popen(process_obj)
  File "/opt/homebrew/Cellar/python@3.10/3.10.14_1/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 32, in __init__
    super().__init__(process_obj)
  File "/opt/homebrew/Cellar/python@3.10/3.10.14_1/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/popen_fork.py", line 19, in __init__
    self._launch(process_obj)
  File "/opt/homebrew/Cellar/python@3.10/3.10.14_1/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/popen_spawn_posix.py", line 42, in _launch
    prep_data = spawn.get_preparation_data(process_obj._name)
  File "/opt/homebrew/Cellar/python@3.10/3.10.14_1/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/spawn.py", line 154, in get_preparation_data
    _check_not_importing_main()
  File "/opt/homebrew/Cellar/python@3.10/3.10.14_1/Frameworks/Python.framework/Versions/3.10/lib/python3.10/multiprocessing/spawn.py", line 134, in _check_not_importing_main
    raise RuntimeError('''
RuntimeError: 
        An attempt has been made to start a new process before the
        current process has finished its bootstrapping phase.

        This probably means that you are not using fork to start your
        child processes and you have forgotten to use the proper idiom
        in the main module:

            if __name__ == '__main__':
                freeze_support()
                ...

        The "freeze_support()" line can be omitted if the program
        is not going to be frozen to produce an executable.

Any leads?

[jomiguelcarv]

For anyone facing the same issue, solved by making the following changes:

import torch
from accord_nlp.text_classification.ner.ner_model import NERModel

def run():
    torch.multiprocessing.freeze_support()
    model = NERModel('roberta', 'ACCORD-NLP/ner-roberta-large', use_cuda=False)
    predictions, raw_outputs = model.predict(['The gradient of the passageway should not exceed five per cent.'])
    print(predictions)

if __name__ == '__main__':
    run()