Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.hubert_qa_milqa_impossible_long_answer_pipeline is a Hungarian model originally trained by ZTamas.
How to use
pipeline = PretrainedPipeline("hubert_qa_milqa_impossible_long_answer_pipeline", lang = "hu")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("hubert_qa_milqa_impossible_long_answer_pipeline", lang = "hu")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | hubert_qa_milqa_impossible_long_answer_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | hu |
| Size: | 412.5 MB |
References
https://huggingface.co/ZTamas/hubert-qa-milqa-impossible-long-answer
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering