Error loading model using load_archive from local path

Checklist

[x] I have verified that the issue exists against the master branch of AllenNLP.
[x] I have read the relevant section in the contribution guide on reporting bugs.
[x] I have checked the issues list for similar or identical bug reports.
[x] I have checked the pull requests list for existing proposed fixes.
[x] I have checked the CHANGELOG and the commit log to find out if the bug was already fixed in the master branch.
[x] I have included in the "Description" section below a traceback from any exceptions related to this bug.
[x] I have included in the "Related issues or possible duplicates" section beloew all related issues and possible duplicate issues (If there are none, check this box anyway).
[x] I have included in the "Environment" section below the name of the operating system and Python version that I was using when I discovered this bug.
[x] I have included in the "Environment" section below the output of pip freeze.
[x] I have included in the "Steps to reproduce" section below a minimally reproducible example.

Description

I'm trying to load a model saved to a local path in the Kaggle environment, using the allennlp.models.load_archive() method but I get the below error: "ConfigurationError: discourse_classifier is not a registered name for Model. You probably need to use the --include-package flag to load your custom code. Alternatively, you can specify your choices using fully-qualified paths, e.g. {"model": "my_module.models.MyModel"} in which case they will be automatically imported correctly."

Model location: https://s3-us-west-2.amazonaws.com/pubmed-rct/model.tar.gz

Traceback:

<ipython-input-21-1d9004d63a1a> in <module>
----> 1 archive = load_archive("/kaggle/input/modelbase") ## available at github
      2 predictor = Predictor.from_archive(archive, 'discourse_crf_predictor')
      3 gc.collect()

/opt/conda/lib/python3.7/site-packages/allennlp/models/archival.py in load_archive(archive_file, cuda_device, opt_level, overrides, weights_file)
    195         serialization_dir=serialization_dir,
    196         cuda_device=cuda_device,
--> 197         opt_level=opt_level,
    198     )
    199 

/opt/conda/lib/python3.7/site-packages/allennlp/models/model.py in load(cls, config, serialization_dir, weights_file, cuda_device, opt_level)
    389         # This allows subclasses of Model to override _load.
    390 
--> 391         model_class: Type[Model] = cls.by_name(model_type)  # type: ignore
    392         if not isinstance(model_class, type):
    393             # If you're using from_archive to specify your model (e.g., for fine tuning), then you

/opt/conda/lib/python3.7/site-packages/allennlp/common/registrable.py in by_name(cls, name)
    135         """
    136         logger.debug(f"instantiating registered subclass {name} of {cls}")
--> 137         subclass, constructor = cls.resolve_class_name(name)
    138         if not constructor:
    139             return subclass

/opt/conda/lib/python3.7/site-packages/allennlp/common/registrable.py in resolve_class_name(cls, name)
    183             # is not a qualified class name
    184             raise ConfigurationError(
--> 185                 f"{name} is not a registered name for {cls.__name__}. "
    186                 "You probably need to use the --include-package flag "
    187                 "to load your custom code. Alternatively, you can specify your choices "

Environment

OS: Kaggle kernel

Python version: 3.7.6

Output of pip freeze:

``` absl-py==0.9.0 adal==1.2.2 affine==2.3.0 aiohttp==3.6.2 alabaster==0.7.12 albumentations==0.4.5 alembic==1.4.2 allennlp==1.0.0 altair==4.1.0 anaconda-client==1.7.2 anaconda-project==0.8.3 annoy==1.16.3 ansiwrap==0.8.4 appdirs==1.4.3 argh==0.26.2 arrow==0.15.5 arviz==0.8.3 asn1crypto==1.3.0 astroid==2.3.3 astropy==4.0.1.post1 astunparse==1.6.3 async-generator==1.10 async-timeout==3.0.1 atomicwrites==1.3.0 attrs==19.3.0 audioread==2.1.8 autopep8==1.5.1 Babel==2.8.0 backcall==0.1.0 backports.shutil-get-terminal-size==1.0.0 Baker==1.3 basemap==1.2.1 bayesian-optimization @ git+https://github.com/fmfn/BayesianOptimization.git@cb28df83f757c5c7406b2730eac3a67a2d0270a5 bayespy==0.5.19 bcolz==1.2.1 beautifulsoup4==4.9.0 binaryornot==0.4.4 biopython==1.77 bitarray==1.2.1 bkcharts==0.2 black==19.10b0 bleach==3.1.4 blinker==1.4 blis==0.4.1 bokeh==2.0.1 Boruta==0.3 boto==2.49.0 boto3==1.14.6 botocore==1.17.6 Bottleneck==1.3.2 -e git+https://github.com/SohierDane/BigQuery_Helper@8615a7f6c1663e7f2d48aa2b32c2dbcb600a440f#egg=bq_helper bqplot==0.12.12 branca==0.4.1 brewer2mpl==1.4.1 brotlipy==0.7.0 cachetools==3.1.1 cairocffi==1.1.0 CairoSVG==2.4.2 Cartopy @ file:///home/conda/feedstock_root/build_artifacts/cartopy_1588596947365/work catalogue==1.0.0 catalyst==20.6 catboost==0.23.2 category-encoders @ git+https://github.com/scikit-learn-contrib/categorical-encoding.git@ea9428a896bef77baf8b26159f7030cee924e916 certifi==2020.4.5.2 cesium==0.9.12 cffi==1.14.0 cftime==1.1.3 chainer==7.4.0 chainer-chemistry==0.7.0 chainercv==0.13.1 chardet==3.0.4 cleverhans==3.0.1 click==7.1.1 click-plugins==1.1.1 cliff==3.3.0 cligj==0.5.0 cloud-tpu-client==0.10 cloudpickle==1.3.0 clyent==1.2.2 cmaes==0.5.0 cmd2==1.1.0 cmdstanpy==0.4.0 cmudict==0.4.4 colorama==0.4.3 colorcet==2.0.2 colorlog==4.1.0 colorlover==0.3.0 conda==4.8.3 conda-package-handling==1.6.0 ConfigArgParse==1.2.3 configparser==5.0.0 confuse==1.1.0 contextily==1.0.0 contextlib2==0.6.0.post1 convertdate==2.2.1 conx==3.7.10 cookiecutter==1.7.0 coverage==5.1 crc32c==2.0 cryptography==2.8 cssselect2==0.3.0 cufflinks==0.17.3 CVXcanon==0.1.1 cvxpy==1.1.1 cycler==0.10.0 cymem==2.0.3 cysignals==1.10.2 Cython==0.29.20 cytoolz==0.10.1 dask==2.18.1 dask-glm==0.2.0 dask-ml==1.5.0 dask-xgboost==0.1.10 datashader==0.11.0 datashape==0.5.2 deap==1.3.1 decorator==4.4.2 deepdish==0.3.6 defusedxml==0.6.0 Delorean==1.0.0 Deprecated @ file:///home/conda/feedstock_root/build_artifacts/deprecated_1589409885623/work deprecation==2.1.0 descartes==1.1.0 diff-match-patch==20181111 dill==0.3.2 dipy==1.1.1 distributed==2.14.0 dlib==19.20.0 docker==4.2.0 docker-pycreds==0.4.0 docopt==0.6.2 docutils==0.15.2 earthengine-api==0.1.226 ecos==2.0.7.post1 eli5==0.10.1 emoji==0.5.4 en-core-web-lg @ https://github.com/explosion/spacy-models/releases/download/en_core_web_lg-2.2.5/en_core_web_lg-2.2.5.tar.gz en-core-web-sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.2.5/en_core_web_sm-2.2.5.tar.gz entrypoints==0.3 ephem==3.7.7.1 essentia==2.1b6.dev234 et-xmlfile==1.0.1 fancyimpute==0.5.4 fastai==1.0.61 fastcache==1.1.0 fastprogress==0.2.3 fasttext==0.9.2 fbpca==1.0 fbprophet==0.6 feather-format==0.4.1 featuretools==0.16.0 filelock==3.0.10 Fiona==1.8.13 fitter==1.2.1 flake8==3.7.9 flashtext==2.7 Flask==1.1.2 folium==0.11.0 fsspec==0.7.2 funcy==1.14 fury==0.5.1 future==0.18.2 fuzzywuzzy==0.18.0 gast==0.3.3 gatspy==0.3 gcsfs==0.6.1 GDAL==3.0.4 gensim==3.8.3 geographiclib==1.50 Geohash==1.0 geojson==2.5.0 geopandas==0.6.3 geoplot==0.4.1 geopy==1.22.0 geoviews==1.8.1 gevent==1.5.0 ggplot @ https://github.com/hbasria/ggpy/archive/0.11.5.zip gitdb==4.0.4 GitPython==3.1.1 glob2==0.7 gluoncv==0.7.0 gluonnlp==0.9.1 gmpy2==2.1.0b1 google==2.0.3 google-api-core==1.17.0 google-api-python-client==1.8.0 google-auth==1.14.0 google-auth-httplib2==0.0.3 google-auth-oauthlib==0.4.1 google-cloud-automl==0.10.0 google-cloud-bigquery==1.12.1 google-cloud-bigtable==1.2.1 google-cloud-core==1.3.0 google-cloud-dataproc==0.7.0 google-cloud-datastore==1.12.0 google-cloud-firestore==1.6.2 google-cloud-kms==1.4.0 google-cloud-language==1.3.0 google-cloud-logging==1.15.0 google-cloud-pubsub==1.4.3 google-cloud-scheduler==1.2.1 google-cloud-spanner==1.15.1 google-cloud-speech==1.3.2 google-cloud-storage==1.27.0 google-cloud-tasks==1.5.0 google-cloud-translate==2.0.1 google-cloud-videointelligence==1.14.0 google-cloud-vision==1.0.0 google-pasta==0.2.0 google-resumable-media==0.5.0 googleapis-common-protos==1.51.0 gplearn==0.4.1 gpxpy==1.4.1 gql==0.2.0 graphql-core==1.1 graphviz==0.8.4 greenlet==0.4.15 grpc-google-iam-v1==0.12.3 grpcio==1.29.0 grpcio-gcp==0.2.2 gym==0.17.2 h2o==3.30.0.5 h5py==2.10.0 haversine==2.2.0 heamy==0.0.7 HeapDict==1.0.1 hep-ml==0.6.1 hmmlearn==0.2.3 holidays==0.10.2 holoviews==1.13.2 hpsklearn==0.1.0 html5lib==1.0.1 htmlmin==0.1.12 httplib2==0.17.2 httplib2shim==0.0.3 humanize==2.4.0 hunspell==0.5.5 husl==4.0.3 hyperopt==0.2.4 hypertools==0.6.2 hypothesis==5.10.0 ibis-framework==1.3.0 idna==2.9 imagecodecs==2020.5.30 ImageHash==4.1.0 imageio==2.8.0 imagesize==1.2.0 imbalanced-learn==0.7.0 imgaug==0.2.6 implicit==0.4.2 importlib-metadata==1.6.0 intervaltree==3.0.2 ipykernel==5.1.1 ipython==7.13.0 ipython-genutils==0.2.0 ipython-sql==0.3.9 ipywidgets==7.5.1 iso3166==1.0.1 isort==4.3.21 isoweek==1.3.3 itsdangerous==1.1.0 Janome==0.3.10 jdcal==1.4.1 jedi==0.15.2 jeepney==0.4.3 jieba==0.42.1 Jinja2==2.11.2 jinja2-time==0.2.0 jmespath==0.10.0 joblib==0.14.1 json5==0.9.0 jsonnet==0.16.0 jsonpickle==1.4.1 jsonschema==3.2.0 jupyter==1.0.0 jupyter-aihub-deploy-extension==0.1 jupyter-client==6.1.3 jupyter-console==6.1.0 jupyter-core==4.6.3 jupyter-http-over-ws==0.0.8 jupyterlab==1.2.10 jupyterlab-git==0.10.0 jupyterlab-server==1.1.1 kaggle==1.5.6 kaggle-environments==1.0.8 Keras==2.4.0 Keras-Preprocessing==1.1.2 keras-tuner==1.0.1 keyring==21.1.1 kiwisolver==1.2.0 kmapper==1.2.0 kmeans-smote==0.1.2 kmodes==0.10.2 knnimpute==0.1.0 korean-lunar-calendar==0.2.1 kornia==0.3.1 kubernetes==10.1.0 langid==1.1.6 Lasagne @ git+git://github.com/Lasagne/Lasagne.git@5d3c63cb315c50b1cbd27a6bc8664b406f34dd99 lazy-object-proxy==1.4.3 learntools @ git+https://github.com/Kaggle/learntools@886f5c215de079287f21e2d3a92bd852fb95d105 leven==1.0.4 libarchive-c==2.9 librosa==0.7.2 lief==0.9.0 lightfm==1.15 lightgbm==2.3.1 lime==0.2.0.0 line-profiler==3.0.2 llvmlite==0.31.0 lml==0.0.9 locket==0.2.0 LunarCalendar==0.0.9 lxml==4.5.0 Mako==1.1.3 mapclassify==2.3.0 marisa-trie==0.7.5 Markdown==3.2.1 markovify==0.8.2 MarkupSafe==1.1.1 matplotlib==3.2.1 matplotlib-venn==0.11.5 mccabe==0.6.1 memory-profiler==0.57.0 mercantile==1.1.5 missingno==0.4.2 mistune==0.8.4 mizani==0.7.1 mkl-fft==1.1.0 mkl-random==1.1.0 mkl-service==2.3.0 ml-metrics==0.1.4 mlcrate==0.2.0 mlens==0.2.3 mlxtend==0.17.2 mmh3==2.5.1 mne==0.20.7 mnist==0.2.2 mock==3.0.5 more-itertools==8.2.0 mpld3==0.5.1 mplleaflet==0.0.5 mpmath==1.1.0 msgpack==0.6.2 msgpack-numpy==0.4.6.post0 multidict==4.7.6 multipledispatch==0.6.0 multiprocess==0.70.10 munch==2.5.0 murmurhash==1.0.2 mxnet==1.6.0 mypy-extensions==0.4.3 nb-conda==2.2.1 nb-conda-kernels==2.2.3 nbclient==0.2.0 nbconvert==5.6.1 nbdime==2.0.0 nbformat==5.0.6 nbpresent==3.0.2 nervananeon @ file:///usr/local/src/neon nest-asyncio==1.3.2 netCDF4==1.5.3 networkx==2.4 nibabel==3.1.0 nilearn==0.6.2 nltk==3.2.4 nnabla==1.8.0 nolearn==0.6.1 nose==1.3.7 notebook==5.5.0 notebook-executor==0.2 numba==0.48.0 numexpr==2.7.1 numpy==1.18.1 numpydoc==0.9.2 nvidia-ml-py3==7.352.0 oauth2client==4.1.3 oauthlib==3.0.1 odfpy==1.4.1 olefile==0.46 onnx==1.7.0 opencv-python==4.2.0.34 openpyxl==3.0.3 openslide-python @ git+git://github.com/rosbo/openslide-python.git@6bb6e3dbae448fe9ccf21a5a2078e9d7e890153c opt-einsum==3.2.1 optuna==1.5.0 orderedmultidict==1.0.1 ortools==7.7.7810 osmnx==0.14.1 osqp==0.6.1 overrides==3.0.0 OWSLib @ file:///home/conda/feedstock_root/build_artifacts/owslib_1591376955812/work packaging==20.1 palettable==3.3.0 pandas==1.0.3 pandas-datareader==0.8.1 pandas-profiling==2.6.0 pandas-summary==0.0.7 pandasql==0.7.3 pandoc==1.0.2 pandocfilters==1.4.2 panel==0.9.5 papermill==2.1.0 param==1.9.3 parso==0.5.2 partd==1.1.0 path==13.1.0 path.py==12.4.0 pathlib2==2.3.5 pathos==0.2.6 pathspec==0.8.0 pathtools==0.1.2 patsy==0.5.1 pbr==5.4.5 pdf2image==1.13.1 PDPbox @ git+https://github.com/SauceCat/PDPbox@73c69665f1663b53984e187c7bc8996e25fea18e pep8==1.7.1 pexpect==4.8.0 phik==0.9.11 pickleshare==0.7.5 Pillow==5.4.1 pkginfo==1.5.0.1 plac==1.1.3 plotly==4.8.1 plotly-express==0.4.1 plotnine==0.7.0 pluggy==0.13.0 ply==3.11 polyglot==16.7.4 portalocker==1.7.0 posix-ipc==1.0.4 pox==0.2.8 poyo==0.5.0 ppca==0.0.4 ppft==1.6.6.2 preprocessing==0.1.13 preshed==3.0.2 prettytable==0.7.2 prometheus-client==0.7.1 promise==2.3 prompt-toolkit==3.0.5 pronouncing==0.2.0 protobuf==3.12.2 psutil==5.7.0 ptyprocess==0.6.0 pudb==2019.2 py==1.8.1 py-cpuinfo==6.0.0 py-lz4framed==0.14.0 py-spy==0.3.3 py-stringmatching==0.4.1 py-stringsimjoin==0.3.1 pyahocorasick==1.4.0 pyaml==20.4.0 PyArabic==0.6.7 pyarrow==0.16.0 pyasn1==0.4.8 pyasn1-modules==0.2.7 PyAstronomy==0.15.0 pybind11==2.5.0 PyBrain==0.3 pycairo==1.19.1 pycodestyle==2.5.0 pycosat==0.6.3 pycountry==19.8.18 pycparser==2.20 pycrypto==2.6.1 pyct==0.4.6 pycurl==7.43.0.5 pydash==4.8.0 pydicom==2.0.0 pydocstyle==5.0.2 pydot==1.4.1 pydub==0.24.1 pyemd==0.5.1 pyepsg==0.4.0 pyexcel-io==0.5.20 pyexcel-ods==0.5.6 pyfasttext==0.4.6 pyflakes==2.1.1 pyglet==1.5.0 Pygments==2.6.1 PyJWT==1.7.1 pykalman==0.9.5 pyLDAvis==2.1.2 pylint==2.4.4 pymc3==3.9.1 PyMeeus==0.3.7 pymongo==3.10.1 Pympler==0.8 pyocr==0.7.2 pyodbc==4.0.30 pyOpenSSL==19.1.0 pypandoc==1.5 pyparsing==2.4.7 pyPdf==1.13 pyperclip==1.8.0 PyPrind==2.11.2 pyproj @ file:///home/conda/feedstock_root/build_artifacts/pyproj_1588596070165/work PyQt5==5.12.3 PyQt5-sip==4.19.18 PyQtWebEngine==5.12.1 pyrsistent==0.16.0 pysal==2.1.0 pyshp==2.1.0 PySocks==1.7.1 pystan==2.19.1.1 pytagcloud==0.3.5 pytesseract==0.3.4 pytest==5.4.1 pytest-arraydiff==0.3 pytest-astropy==0.7.0 pytest-astropy-header==0.1.2 pytest-cov==2.10.0 pytest-doctestplus==0.4.0 pytest-mock==3.1.1 pytest-openfiles==0.4.0 pytest-remotedata==0.3.1 pytext-nlp==0.1.2 python-dateutil==2.8.1 python-editor==1.0.4 python-igraph @ file:///home/conda/feedstock_root/build_artifacts/python-igraph_1588168236405/work python-jsonrpc-server==0.3.4 python-language-server==0.31.10 python-Levenshtein==0.12.0 python-louvain==0.14 python-slugify==4.0.0 pytorch-ignite==0.3.0 pytz==2019.3 PyUpSet==0.1.1.post7 pyviz-comms==0.7.5 PyWavelets==1.1.1 pyxdg==0.26 PyYAML==5.3.1 pyzmq==19.0.0 QDarkStyle==2.8.1 qgrid==1.3.1 QtAwesome==0.7.1 qtconsole==4.7.3 QtPy==1.9.0 randomgen==1.16.6 rasterio==1.1.5 ray==0.8.5 redis==3.4.1 regex==2020.4.4 requests==2.23.0 requests-oauthlib==1.2.0 resampy==0.2.2 retrying==1.3.3 rgf-python==3.8.0 rope==0.16.0 rsa==4.0 Rtree==0.9.4 ruamel-yaml==0.15.80 s2sphere==0.2.5 s3fs==0.4.2 s3transfer==0.3.3 sacred==0.8.1 sacremoses==0.0.43 scattertext==0.0.2.65 scikit-image==0.16.2 scikit-learn==0.23.1 scikit-multilearn==0.2.0 scikit-optimize==0.7.4 scikit-plot==0.3.7 scikit-surprise==1.1.0 scipy==1.4.1 scs==2.1.2 seaborn==0.10.0 SecretStorage==3.1.2 Send2Trash==1.5.0 sentencepiece==0.1.91 sentry-sdk==0.15.1 setuptools-git==1.2 shap==0.35.0 Shapely==1.7.0 shortuuid==1.0.1 simplegeneric==0.8.1 SimpleITK==1.2.4 simplejson==3.17.0 singledispatch==3.4.0.3 sip==4.19.20 six==1.14.0 sklearn==0.0 sklearn-contrib-py-earth @ git+git://github.com/scikit-learn-contrib/py-earth.git@dde5f899255411a7b9cbbabf93a817eff4b02e5e sklearn-pandas==1.8.0 smart-open==2.0.0 smhasher==0.150.1 smmap==3.0.2 snowballstemmer==2.0.0 snuggs==1.4.7 sortedcollections==1.1.2 sortedcontainers==2.1.0 SoundFile==0.10.3.post1 soupsieve==1.9.4 spacy==2.2.4 spectral==0.21 Sphinx==3.0.2 sphinx-rtd-theme==0.2.4 sphinxcontrib-applehelp==1.0.2 sphinxcontrib-devhelp==1.0.2 sphinxcontrib-htmlhelp==1.0.3 sphinxcontrib-jsmath==1.0.1 sphinxcontrib-qthelp==1.0.3 sphinxcontrib-serializinghtml==1.1.4 sphinxcontrib-websupport==1.2.1 spyder==4.1.2 spyder-kernels==1.9.0 SQLAlchemy==1.3.16 sqlparse==0.3.1 squarify==0.4.3 srsly==1.0.2 statsmodels==0.11.1 stemming==1.0.1 stevedore==2.0.0 stop-words==2018.7.23 stopit==1.1.2 subprocess32==3.5.4 svgwrite==1.4 sympy==1.5.1 tables==3.6.1 tabulate==0.8.7 tangled-up-in-unicode==0.0.4 tblib==1.6.0 tenacity==6.1.0 tensorboard==2.2.2 tensorboard-plugin-wit==1.6.0.post3 tensorboardX==2.0 tensorflow @ file:///tmp/tensorflow_cpu/tensorflow-2.2.0-cp37-cp37m-linux_x86_64.whl tensorflow-addons @ file:///tmp/tfa_cpu/tensorflow_addons-0.10.0-cp37-cp37m-linux_x86_64.whl tensorflow-datasets==3.1.0 tensorflow-estimator==2.2.0 tensorflow-gcs-config @ file:///tmp/tensorflow_gcs_config/tensorflow_gcs_config-2.1.7-py3-none-any.whl tensorflow-hub==0.8.0 tensorflow-metadata==0.22.2 tensorflow-probability==0.10.0 Tensorforce==0.5.5 tensorpack==0.10.1 termcolor==1.1.0 terminado==0.8.3 terminalplot==0.3.0 terminaltables==3.1.0 testpath==0.4.4 text-unidecode==1.3 textblob==0.15.3 texttable==1.6.2 textwrap3==0.9.2 Theano==1.0.4 thinc==7.4.0 threadpoolctl==2.1.0 tifffile==2020.6.3 tinycss2==1.0.2 tokenizers==0.7.0 toml==0.10.0 toolz==0.10.0 torch==1.5.0 torchaudio==0.5.0a0+738ccba torchtext==0.6.0 torchvision==0.6.0a0+35d732a tornado==5.0.2 TPOT==0.11.5 tqdm==4.45.0 traitlets==4.3.3 traittypes==0.2.1 transformers==2.11.0 trueskill==0.4.5 tsfresh==0.16.0 typed-ast==1.4.1 typeguard==2.9.1 typing==3.7.4.1 typing-extensions==3.7.4.1 tzlocal==2.1 ujson==1.35 umap-learn @ https://api.github.com/repos/lmcinnes/umap/tarball/5f9488a9540d1e0ac149e2dd42ebf03c39706110 unicodecsv==0.14.1 Unidecode==1.1.1 update-checker==0.17 uritemplate==3.0.1 urllib3==1.24.3 urwid==2.1.0 vecstack==0.4.0 visions==0.4.1 vowpalwabbit==8.8.1 vtk==8.1.2 Wand==0.5.3 wandb==0.9.1 wasabi==0.6.0 watchdog==0.10.2 wavio==0.0.4 wcwidth==0.1.9 webencodings==0.5.1 websocket-client==0.57.0 Werkzeug==1.0.1 wfdb==3.0.1 whichcraft==0.6.1 widgetsnbextension==3.5.1 Wordbatch==1.4.6 wordcloud==1.7.0 wordsegment==1.3.1 wrapt==1.11.2 wurlitzer==2.0.0 xarray==0.15.1 xgboost==1.1.1 xlrd==1.2.0 XlsxWriter==1.2.8 xlwt==1.3.0 xvfbwrapper==0.2.9 yapf==0.29.0 yarl==1.4.2 yellowbrick==1.1 zict==2.0.0 zipp==3.1.0 ```

Steps to reproduce

Example source:

``` from allennlp.models.archival import load_archive archive = load_archive() ```

allenai / allennlp