How do I fix the "24.Improved_Entity_Resolvers_in_SparkNLP_with_sBert.ipynb" on Spark NLP for Healthcare error?

[JustHeroo]

I was trying to run the code "24.Improved_Entity_Resolvers_in_SparkNLP_with_sBert.ipynb", using my trial license. It seems that it works fine in the Google Colab environment, but when I tried on my linux Jupyter Notebook, I got an error at a specific stage of "SentenceEntityResolverModel". How do I resolve this issue?

sbiobert_base_cased_mli download started this may take some time.
Approximate size to download 384.3 MB
[OK!]
sbiobertresolve_cpt_procedures_augmented download started this may take some time.
Approximate size to download 112.2 MB
[OK!]

Py4JJavaError Traceback (most recent call last)
in ()
3 sbert_embedder = BertSentenceEmbeddings .pretrained('sbiobert_base_cased_mli', 'en','clinical/models') .setInputCols(["ner_chunk"]) .setOutputCol("sbert_embeddings")
4
----> 5 cpt_resolver = SentenceEntityResolverModel.pretrained("sbiobertresolve_cpt_procedures_augmented","en", "clinical/models") .setInputCols(["ner_chunk", "sbert_embeddings"]) .setOutputCol("cpt_code") .setDistanceFunction("EUCLIDEAN")
6
7 cpt_pipelineModel = PipelineModel(

/home/ec2-user/.local/lib/python3.6/site-packages/sparknlp_jsl/annotator.py in pretrained(name, lang, remote_loc)
654 from sparknlp.pretrained import ResourceDownloader
655 return ResourceDownloader.downloadModel(SentenceEntityResolverModel, name, lang, remote_loc,
--> 656 j_dwn='InternalsPythonResourceDownloader')
657
658

/home/ec2-user/.local/lib/python3.6/site-packages/sparknlp/pretrained.py in downloadModel(reader, name, language, remote_loc, j_dwn)
54 t1.start()
55 try:
---> 56 j_obj = _internal._DownloadModel(reader.name, name, language, remote_loc, j_dwn).apply()
57 finally:
58 stop_threads = True

/home/ec2-user/.local/lib/python3.6/site-packages/sparknlp/internal.py in init(self, reader, name, language, remote_loc, validator)
189 class _DownloadModel(ExtendedJavaWrapper):
190 def init(self, reader, name, language, remote_loc, validator):
--> 191 super(_DownloadModel, self).init("com.johnsnowlabs.nlp.pretrained."+validator+".downloadModel", reader, name, language, remote_loc)
192
193

/home/ec2-user/.local/lib/python3.6/site-packages/sparknlp/internal.py in init(self, java_obj, *args)
142 super(ExtendedJavaWrapper, self).init(java_obj)
143 self.sc = SparkContext._active_spark_context
--> 144 self._java_obj = self.new_java_obj(java_obj, *args)
145 self.java_obj = self._java_obj
146

/home/ec2-user/.local/lib/python3.6/site-packages/sparknlp/internal.py in new_java_obj(self, java_class, *args)
152
153 def new_java_obj(self, java_class, *args):
--> 154 return self._new_java_obj(java_class, *args)
155
156 def new_java_array(self, pylist, java_class):

/home/ec2-user/anaconda3/envs/sdo_env/lib/python3.6/site-packages/pyspark/ml/wrapper.py in _new_java_obj(java_class, *args)
64 java_obj = getattr(java_obj, name)
65 java_args = [_py2java(sc, arg) for arg in args]
---> 66 return java_obj(*java_args)
67
68 @staticmethod

/home/ec2-user/anaconda3/envs/sdo_env/lib/python3.6/site-packages/py4j/java_gateway.py in call(self, *args)
1303 answer = self.gateway_client.send_command(command)
1304 return_value = get_return_value(
-> 1305 answer, self.gateway_client, self.target_id, self.name)
1306
1307 for temp_arg in temp_args:

/home/ec2-user/anaconda3/envs/sdo_env/lib/python3.6/site-packages/pyspark/sql/utils.py in deco(*a, **kw)
109 def deco(*a, **kw):
110 try:
--> 111 return f(*a, **kw)
112 except py4j.protocol.Py4JJavaError as e:
113 converted = convert_exception(e.java_exception)

/home/ec2-user/anaconda3/envs/sdo_env/lib/python3.6/site-packages/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
326 raise Py4JJavaError(
327 "An error occurred while calling {0}{1}{2}.\n".
--> 328 format(target_id, ".", name), value)
329 else:
330 raise Py4JError(

Py4JJavaError: An error occurred while calling z:com.johnsnowlabs.nlp.pretrained.InternalsPythonResourceDownloader.downloadModel.
: java.lang.NoClassDefFoundError: Could not initialize class com.johnsnowlabs.nlp.pretrained.InternalsPythonResourceDownloader$
at com.johnsnowlabs.nlp.pretrained.InternalsPythonResourceDownloader.downloadModel(InternalsPythonResourceDownloader.scala)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.base/java.lang.Thread.run(Thread.java:834)

[JustHeroo]

Just replace 3.0.3-xxxxxxx with whatever you have and use the same version here >> spark-nlp-jsl==3.0.3