Modern Greek (1453-) BertForQuestionAnswering model (from Danastos)

Description

Pretrained Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. triviaqa_bert_el is a Modern Greek (1453-) model orginally trained by Danastos.

Download Copy S3 URICopied!

How to use

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

spanClassifier = BertForQuestionAnswering.pretrained("bert_qa_triviaqa_bert_el_Danastos","el") \
.setInputCols(["document_question", "document_context"]) \
.setOutputCol("answer") \
.setCaseSensitive(True)

pipeline = Pipeline().setStages([
document_assembler,
spanClassifier
])

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

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

Model Information

Model Name: bert_qa_triviaqa_bert_el_Danastos
Compatibility: Spark NLP 4.0.0+
License: Open Source
Edition: Official
Input Labels: [sentence, token]
Output Labels: [embeddings]
Language: el
Size: 421.6 MB
Case sensitive: true
Max sentence length: 512

References

  • https://huggingface.co/Danastos/triviaqa_bert_el