English RobertaForQuestionAnswering Base Cased model (from deepset)

Description

Pretrained RobertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. roberta-base-squad2-distilled is a English model originally trained by deepset.

Download Copy S3 URI

How to use

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

Question_Answering = RoBertaForQuestionAnswering.pretrained("roberta_qa_base_squad2_distilled","en")\
     .setInputCols(["document_question", "document_context"])\
     .setOutputCol("answer")\
     .setCaseSensitive(True)
    
pipeline = Pipeline(stages=[Document_Assembler, Question_Answering])

data = spark.createDataFrame([["What's my name?","My name is Clara and I live in Berkeley."]]).toDF("question", "context")

result = pipeline.fit(data).transform(data)

val Document_Assembler = new MultiDocumentAssembler()
     .setInputCols(Array("question", "context"))
     .setOutputCols(Array("document_question", "document_context"))

val Question_Answering = RoBertaForQuestionAnswering.pretrained("roberta_qa_base_squad2_distilled","en")
     .setInputCols(Array("document_question", "document_context"))
     .setOutputCol("answer")
     .setCaseSensitive(True)
    
val pipeline = new Pipeline().setStages(Array(Document_Assembler, Question_Answering))

val data = Seq("What's my name?","My name is Clara and I live in Berkeley.").toDS.toDF("question", "context")

val result = pipeline.fit(data).transform(data)

import nlu
nlu.load("en.answer_question.roberta.squadv2.distilled_base").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")

Model Information

Model Name:	roberta_qa_base_squad2_distilled
Compatibility:	Spark NLP 4.2.4+
License:	Open Source
Edition:	Official
Input Labels:	[document, token]
Output Labels:	[class]
Language:	en
Size:	463.1 MB
Case sensitive:	true
Max sentence length:	256

References

https://huggingface.co/deepset/roberta-base-squad2-distilled
http://deepset.ai/
https://haystack.deepset.ai/
https://deepset.ai/german-bert
https://deepset.ai/germanquad
https://github.com/deepset-ai/haystack
https://docs.haystack.deepset.ai
https://haystack.deepset.ai/community
https://twitter.com/deepset_ai
https://www.linkedin.com/company/deepset-ai/
https://haystack.deepset.ai/community
https://github.com/deepset-ai/haystack/discussions
https://deepset.ai
http://www.deepset.ai/jobs
https://paperswithcode.com/sota?task=Question+Answering&dataset=squad_v2

PREVIOUSSpanish RobertaForQuestionAnswering Base Cased model (from IIC)

NEXTEnglish RobertaForQuestionAnswering Base Cased model (from thatdramebaazguy)