English DistilBertForSequenceClassification Cased model (from lingwave-admin)

Description

Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. state-op-detector is a English model originally trained by lingwave-admin.

Predicted Entities

State Operator, Normal User

Download Copy S3 URI

How to use

documentAssembler = DocumentAssembler() \
        .setInputCol("text") \
        .setOutputCol("document")

tokenizer = Tokenizer() \
    .setInputCols("document") \
    .setOutputCol("token")

sequenceClassifier_loaded = DistilBertForSequenceClassification.pretrained("distilbert_sequence_classifier_state_op_detector","en") \
    .setInputCols(["document", "token"]) \
    .setOutputCol("class")

pipeline = Pipeline(stages=[documentAssembler, tokenizer,sequenceClassifier_loaded])

data = spark.createDataFrame([["PUT YOUR STRING HERE"]]).toDF("text")

result = pipeline.fit(data).transform(data)
val documentAssembler = new DocumentAssembler() 
          .setInputCol("text") 
          .setOutputCol("document")

val tokenizer = new Tokenizer() 
    .setInputCols(Array("document"))
    .setOutputCol("token")

val sequenceClassifier_loaded = DistilBertForSequenceClassification.pretrained("distilbert_sequence_classifier_state_op_detector","en") 
    .setInputCols(Array("document", "token")) 
    .setOutputCol("class")

val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer,sequenceClassifier_loaded))

val data = Seq("PUT YOUR STRING HERE").toDF("text")

val result = pipeline.fit(data).transform(data)
import nlu
nlu.load("en.classify.distil_bert.by_lingwave_admin").predict("""PUT YOUR STRING HERE""")

Model Information

Model Name: distilbert_sequence_classifier_state_op_detector
Compatibility: Spark NLP 4.1.0+
License: Open Source
Edition: Official
Input Labels: [document, token]
Output Labels: [ner]
Language: en
Size: 249.7 MB
Case sensitive: true
Max sentence length: 128

References

  • https://huggingface.co/lingwave-admin/state-op-detector
  • https://www.nbcnews.com/news/latino/russia-disinformation-ukraine-spreading-spanish-speaking-media-rcna22843
  • https://github.com/curt-tigges/state-social-operator-detection
  • https://www.brookings.edu/techstream/china-and-russia-are-joining-forces-to-spread-disinformation/
  • https://journals.sagepub.com/doi/10.1177/19401612221082052
  • https://www.brennancenter.org/our-work/analysis-opinion/new-evidence-shows-how-russias-election-interference-has-gotten-more
  • https://www.lawfareblog.com/understanding-pro-china-propaganda-and-disinformation-tool-set-xinjiang
  • https://www.bbc.com/news/56364952
  • https://www.forbes.com/sites/petersuciu/2022/03/10/russian-sock-puppets-spreading-misinformation-on-social-media-about-ukraine/