Description
Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. model-QA-5-epoch-RU
is a Russian model originally trained by AndrewChar
.
How to use
documentAssembler = MultiDocumentAssembler() \
.setInputCols(["question", "context"]) \
.setOutputCols(["document_question", "document_context"])
spanClassifier = DistilBertForQuestionAnswering.pretrained("distilbert_qa_model_QA_5_epoch_RU","ru") \
.setInputCols(["document_question", "document_context"]) \
.setOutputCol("answer")\
.setCaseSensitive(True)
pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
data = spark.createDataFrame([["Как меня зовут?", "Меня зовут Клара, и я живу в Беркли."]]).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_model_QA_5_epoch_RU","ru")
.setInputCols(Array("document", "token"))
.setOutputCol("answer")
.setCaseSensitive(true)
val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
val data = Seq("Как меня зовут?", "Меня зовут Клара, и я живу в Беркли.").toDF("question", "context")
val result = pipeline.fit(data).transform(data)
import nlu
nlu.load("ru.answer_question.distil_bert").predict("""Как меня зовут?|||"Меня зовут Клара, и я живу в Беркли.""")
Model Information
Model Name: | distilbert_qa_model_QA_5_epoch_RU |
Compatibility: | Spark NLP 4.0.0+ |
License: | Open Source |
Edition: | Official |
Input Labels: | [document_question, document_context] |
Output Labels: | [answer] |
Language: | ru |
Size: | 505.7 MB |
Case sensitive: | true |
Max sentence length: | 512 |
References
- https://huggingface.co/AndrewChar/model-QA-5-epoch-RU