How to Solve Error in importing scala word2vecmodel

import org.apache.spark.mllib.feature.{Word2Vec, Word2VecModel}
import org.apache.spark.sql.{DataFrame, Row, SparkSession}
model save:
Link: http://spark.apache.org/docs/2.3.4/api/scala/index.html#org.apache.spark.mllib.feature.Word2VecModel

var model = Word2VecModel.load(spark.sparkContext, config.model_path)

model read:
Link: http://spark.apache.org/docs/2.3.4/api/scala/index.html#org.apache.spark.mllib.feature.Word2VecModel$

var model = Word2VecModel.load(spark.sparkContext, config.model_path)

Read Error:

Exception in thread "main" java.lang.IllegalAccessError: tried to access method com.google.common.base.Stopwatch.<init>()V from class org.apache.hadoop.mapred.FileInputFormat
	at org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:312)
	at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:200)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
	at scala.Option.getOrElse(Option.scala:121)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
	at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:35)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
	at scala.Option.getOrElse(Option.scala:121)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
	at org.apache.spark.rdd.RDD$$anonfun$take$1.apply(RDD.scala:1337)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
	at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
	at org.apache.spark.rdd.RDD.take(RDD.scala:1331)
	at org.apache.spark.rdd.RDD$$anonfun$first$1.apply(RDD.scala:1372)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
	at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
	at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
	at org.apache.spark.rdd.RDD.first(RDD.scala:1371)
	at org.apache.spark.mllib.util.Loader$.loadMetadata(modelSaveLoad.scala:129)
	at org.apache.spark.mllib.feature.Word2VecModel$.load(Word2Vec.scala:699)
	at job.ml.embeddingModel.graphEmbedding$.run(graphEmbedding.scala:40)
	at job.ml.embeddingModel.graphEmbedding$.main(graphEmbedding.scala:24)
	at job.ml.embeddingModel.graphEmbedding.main(graphEmbedding.scala)

POM file add

    <dependency>
      <groupId>com.google.guava</groupId>
      <artifactId>guava</artifactId>
      <version>15.0</version>
    </dependency>

Run OK again!

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