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from transformers import ViTFeatureExtractor, ViTForImageClassification
from PIL import Image
import requests

url = 'http://images.cocodataset.org/val2017/000000039769.jpg'
image = Image.open(requests.get(url, stream=True).raw)

feature_extractor = ViTFeatureExtractor.from_pretrained('google/vit-base-patch16-224')
model = ViTForImageClassification.from_pretrained('google/vit-base-patch16-224')

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Vivek Gupta Sep 2nd, 2020 at 10:02 AM
I am new to sparknlp. I am writing a custom transformer which will remove tokens from text whose length is <=2. Transformer is working and doing its job. But it is not giving proper structure as an output. Instead it is returning only Array of String. I am struggling to get output in following structure -
ArrayType(
        StructType([
            StructField("annotatorType", StringType(), False),
            StructField("begin", IntegerType(), False),
            StructField("end", IntegerType(), False),
            StructField("result", StringType(), False),
            StructField("metadata", MapType(StringType(), StringType()), True)
        ])

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##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman

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DEBUG [2019-02-18 11:27:25,397] ({YARN application state monitor} ProtobufRpcEngine.java[invoke]:249) - Call: getApplicationReport took 2ms
DEBUG [2019-02-18 11:27:25,878] ({FIFOScheduler-Worker-1} InterpreterOutputStream.java[processLine]:81) - Interpreter output:import org.apache.spark.sql.functions._
 INFO [2019-02-18 11:27:25,931] ({pool-6-thread-2} RemoteInterpreterServer.java[getStatus]:818) - job:null
DEBUG [2019-02-18 11:27:25,931] ({pool-6-thread-2} Interpreter.java[getProperty]:204) - key: zeppelin.spark.concurrentSQL, value: false
 INFO [2019-02-18 11:27:25,931] ({pool-6-thread-2} RemoteInterpreterServer.java[getStatus]:818) - job:null
 INFO [2019-02-18 11:27:25,931] ({pool-6-thread-2} RemoteInterpreterServer.java[getStatus]:818) - job:null
 INFO [2019-02-18 11:27:25,931] ({pool-6-thread-2} RemoteInterpreterServer.java[getStatus]:818) - job:org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob@f7c36f41
 INFO [2019-02-18 11:27:25,931] ({pool-6-thread-2} RemoteInterpreterServer.

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INFO [2019-02-06 22:23:16,364] ({main} RemoteInterpreterServer.java[<init>]:148) - Starting remote interpreter server on port 0, intpEventServerAddress: IP_ADDRESS:36131
INFO [2019-02-06 22:23:16,384] ({main} RemoteInterpreterServer.java[<init>]:175) - Launching ThriftServer at IP_ADDRESS:46727
INFO [2019-02-06 22:23:16,549] ({pool-6-thread-1} RemoteInterpreterServer.java[createInterpreter]:333) - Instantiate interpreter org.apache.zeppelin.spark.SparkInterpreter
INFO [2019-02-06 22:23:16,553] ({pool-6-thread-1} RemoteInterpreterServer.java[createInterpreter]:333) - Instantiate interpreter org.apache.zeppelin.spark.SparkSqlInterpreter
INFO [2019-02-06 22:23:16,556] ({pool-6-thread-1} RemoteInterpreterServer.java[createInterpreter]:333) - Instantiate interpreter org.apache.zeppelin.spark.DepInterpreter
INFO [2019-02-06 22:23:16,560] ({pool-6-thread-1} RemoteInterpreterServer.java[createInterpreter]:333) - Instantiate interpreter org.apache.zeppelin.spark.PySparkInterpreter
INFO [2019-02-06 22:23:16,563] ({pool

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org.apache.spark.SparkException: Task not serializable
  at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:403)
  at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:393)
  at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:162)
  at org.apache.spark.SparkContext.clean(SparkContext.scala:2338)
  at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1.apply(RDD.scala:850)
  at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndex$1.apply(RDD.scala:849)
  at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
  at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
  at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)

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    {
      "error": {
        "root_cause": [
          {
            "type": "mapper_parsing_exception",
            "reason": "Root mapping definition has unsupported parameters:  [namespace : {dynamic=false, properties={wiki={analyzer=keyword, type=text, index_options=docs}, name={analyzer=near_match_asciifolding, type=text, index_options=docs}}}] [archive : {dynamic=false, properties={wiki={analyzer=keyword, type=text, index_options=docs}, namespace={type=long}, title={search_analyzer=text_search, similarity=BM25, analyzer=text, position_increment_gap=10, type=text, fields={trigram={similarity=BM25, analyzer=trigram, type=text, index_options=docs}, prefix_asciifolding={search_analyzer=near_match_asciifolding, similarity=BM25, analyzer=prefix_asciifolding, type=text, index_options=docs}, plain={search_analyzer=plain_search, similarity=BM25, analyzer=plain, position_increment_gap=10, type=text}, prefix={search_analyzer=near_match, similarity=BM25, analyzer=prefix, type=text, index_options=docs}, keyword={s

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import com.johnsnowlabs.nlp.{DocumentAssembler, Finisher}
import com.johnsnowlabs.nlp.annotators.{Normalizer, Stemmer, Tokenizer}
import com.johnsnowlabs.nlp.annotator._
import com.johnsnowlabs.nlp.base._
import com.johnsnowlabs.util.Benchmark
import org.apache.spark.ml.feature.NGram

import org.apache.spark.ml.Pipeline
import org.apache.spark.ml.feature.{StopWordsRemover, IDF, HashingTF, CountVectorizer, Word2Vec}

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[
   {
      "tourBlurb" : "Big Sur is big country. The Big Sur Retreat takes you to the most majestic part of the Pacific Coast and show you the secret trails.",
      "tourName" : "Big Sur Retreat",
      "tourPackage" : "Backpack Cal",
      "tourBullets" : "\"Accommodations at the historic Big Sur River Inn, Privately guided hikes through any of the 5 surrounding national parks, Picnic lunches prepared by the River Inn kitchen, Complimentary country breakfast, Admission to the Henry Miller Library and the Point Reyes Lighthouse \"",
      "tourRegion" : "Central Coast",
      "tourDifficulty" : "Medium",
      "tourLength" : 3,
      "tourPrice" : 750,