boat-group / fancy-nlp Goto Github PK

NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.

License: GNU General Public License v3.0

Python 100.00%

bert bert-chinese bert-classifier bert-embeddings bert-ner bilstm-crf bimpm chinese-nlp crf esim keras named-entity-recognition nlp python-library semantic-similarity tensorflow text-classification tf2

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fancy-nlp's Issues

不能安装

ERROR: Cannot install fancy-nlp==0.0.1, fancy-nlp==0.0.2, fancy-nlp==0.0.3, fancy-nlp==0.0.4 and fancy-nlp==1.0.0 because these package versions have conflicting dependencies.

The conflict is caused by:
fancy-nlp 1.0.0 depends on bert4keras==0.4.9
fancy-nlp 0.0.4 depends on tensorflow==1.9.0
fancy-nlp 0.0.3 depends on tensorflow==1.9.0
fancy-nlp 0.0.2 depends on tensorflow==1.9.0
fancy-nlp 0.0.1 depends on tensorflow==1.9.0

To fix this you could try to:

loosen the range of package versions you've specified
remove package versions to allow pip attempt to solve the dependency conflict

ERROR: ResolutionImpossible: for help visit https://pip.pypa.io/en/latest/user_guide/#fixing-conflicting-dependencies

what's 'SWA' callback?

RuntimeError: dictionary changed size during iteration

安装完成后运行from fancy_nlp.applications import NER出现RuntimeError: dictionary changed size during iteration

Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/littlely/myvirtual/tf21/lib/python3.7/site-packages/fancy_nlp/__init__.py", line 7, in <module>
    from . import utils
  File "/Users/littlely/myvirtual/tf21/lib/python3.7/site-packages/fancy_nlp/utils/__init__.py", line 7, in <module>
    from .save_load_model import load_keras_model, save_keras_model
  File "/Users/littlely/myvirtual/tf21/lib/python3.7/site-packages/fancy_nlp/utils/save_load_model.py", line 6, in <module>
    import tensorflow as tf
  File "/Users/littlely/myvirtual/tf21/lib/python3.7/site-packages/tensorflow/__init__.py", line 101, in <module>
    from tensorflow_core import *
  File "/Users/littlely/myvirtual/tf21/lib/python3.7/site-packages/tensorflow_core/__init__.py", line 40, in <module>
    from tensorflow.python.tools import module_util as _module_util
  File "<frozen importlib._bootstrap>", line 983, in _find_and_load
  File "<frozen importlib._bootstrap>", line 959, in _find_and_load_unlocked
  File "/Users/littlely/myvirtual/tf21/lib/python3.7/site-packages/tensorflow/__init__.py", line 50, in __getattr__
    module = self._load()
  File "/Users/littlely/myvirtual/tf21/lib/python3.7/site-packages/tensorflow/__init__.py", line 44, in _load
    module = _importlib.import_module(self.__name__)
  File "/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.7/lib/python3.7/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/Users/littlely/myvirtual/tf21/lib/python3.7/site-packages/tensorflow_core/python/__init__.py", line 64, in <module>
    from tensorflow.core.framework.graph_pb2 import *
  File "/Users/littlely/myvirtual/tf21/lib/python3.7/site-packages/tensorflow_core/core/framework/graph_pb2.py", line 7, in <module>
    from google.protobuf import descriptor as _descriptor
  File "/Users/littlely/myvirtual/tf21/lib/python3.7/site-packages/google/protobuf/__init__.py", line 37, in <module>
    __import__('pkg_resources').declare_namespace(__name__)
  File "/Users/littlely/myvirtual/tf21/lib/python3.7/site-packages/pkg_resources/__init__.py", line 77, in <module>
    __import__('pkg_resources.extern.packaging.requirements')
  File "/Users/littlely/myvirtual/tf21/lib/python3.7/site-packages/pkg_resources/_vendor/packaging/requirements.py", line 9, in <module>
    from pkg_resources.extern.pyparsing import stringStart, stringEnd, originalTextFor, ParseException
  File "<frozen importlib._bootstrap>", line 983, in _find_and_load
  File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
  File "<frozen importlib._bootstrap>", line 668, in _load_unlocked
  File "<frozen importlib._bootstrap>", line 638, in _load_backward_compatible
  File "/Users/littlely/myvirtual/tf21/lib/python3.7/site-packages/pkg_resources/extern/__init__.py", line 43, in load_module
    __import__(extant)
  File "/Users/littlely/myvirtual/tf21/lib/python3.7/site-packages/pkg_resources/_vendor/pyparsing.py", line 4756, in <module>
    _escapedPunc = Word( _bslash, r"\[]-*.$+^?()~ ", exact=2 ).setParseAction(lambda s,l,t:t[0][1])
  File "/Users/littlely/myvirtual/tf21/lib/python3.7/site-packages/pkg_resources/_vendor/pyparsing.py", line 1284, in setParseAction
    self.parseAction = list(map(_trim_arity, list(fns)))
  File "/Users/littlely/myvirtual/tf21/lib/python3.7/site-packages/pkg_resources/_vendor/pyparsing.py", line 1066, in _trim_arity
    this_line = extract_stack(limit=2)[-1]
  File "/Users/littlely/myvirtual/tf21/lib/python3.7/site-packages/pkg_resources/_vendor/pyparsing.py", line 1050, in extract_stack
    frame_summary = traceback.extract_stack(limit=-offset+limit-1)[offset]
  File "/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.7/lib/python3.7/traceback.py", line 211, in extract_stack
    stack = StackSummary.extract(walk_stack(f), limit=limit)
  File "/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.7/lib/python3.7/traceback.py", line 363, in extract
    f.line
  File "/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.7/lib/python3.7/traceback.py", line 285, in line
    self._line = linecache.getline(self.filename, self.lineno).strip()
  File "/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.7/lib/python3.7/linecache.py", line 16, in getline
    lines = getlines(filename, module_globals)
  File "/Library/Developer/CommandLineTools/Library/Frameworks/Python3.framework/Versions/3.7/lib/python3.7/linecache.py", line 48, in getlines
    for mod in sys.modules.values():
RuntimeError: dictionary changed size during iteration

系统：macOS
版本：python3.7

how to produce a server from the NER model trained from fancy-nlp?

The library is amazing, I can easily train a very comprehensive NER model from it.

Just one simple question

After training the model, any particular way to deploy the model as server?

Thanks

install error

ERROR: Could not find a version that satisfies the requirement tensorflow-addons==0.8.1
ERROR: No matching distribution found for tensorflow-addons==0.8.1
ERROR: Could not find a version that satisfies the requirement tensorflow==1.9.0
ERROR: No matching distribution found for tensorflow==1.9.0

这个能自己训练吗

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