Spanish DistilBertForQuestionAnswering model (from CenIA) SQAC

Description

Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. distillbert-base-spanish-uncased-finetuned-qa-sqac is a English model originally trained by CenIA.

Download Copy S3 URI

How to use

documentAssembler = MultiDocumentAssembler() \
.setInputCols(["question", "context"]) \
.setOutputCols(["document_question", "document_context"])

spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_sqac","es") \
.setInputCols(["document_question", "document_context"]) \
.setOutputCol("answer")\
.setCaseSensitive(True)

pipeline = Pipeline(stages=[documentAssembler, spanClassifier])

data = spark.createDataFrame([["¿Cuál es mi nombre?", "Mi nombre es Clara y vivo en Berkeley."]]).toDF("question", "context")

result = pipeline.fit(data).transform(data)
val documentAssembler = new MultiDocumentAssembler() 
.setInputCols(Array("question", "context")) 
.setOutputCols(Array("document_question", "document_context"))

val spanClassifer = DistilBertForQuestionAnswering.pretrained("distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_sqac","es") 
.setInputCols(Array("document", "token")) 
.setOutputCol("answer")
.setCaseSensitive(true)

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

val data = Seq("¿Cuál es mi nombre?", "Mi nombre es Clara y vivo en Berkeley.").toDF("question", "context")

val result = pipeline.fit(data).transform(data)
import nlu
nlu.load("es.answer_question.sqac.distil_bert.base_uncased").predict("""¿Cuál es mi nombre?|||"Mi nombre es Clara y vivo en Berkeley.""")

Model Information

Model Name: distilbert_qa_distillbert_base_spanish_uncased_finetuned_qa_sqac
Compatibility: Spark NLP 4.0.0+
License: Open Source
Edition: Official
Input Labels: [document_question, document_context]
Output Labels: [answer]
Language: es
Size: 250.5 MB
Case sensitive: false
Max sentence length: 512

References

  • https://huggingface.co/CenIA/distillbert-base-spanish-uncased-finetuned-qa-sqac