Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mbert_finetuned_mlqa_dev_samelen_english_hindi_pipeline is a English model originally trained by roshnir.
How to use
pipeline = PretrainedPipeline("mbert_finetuned_mlqa_dev_samelen_english_hindi_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mbert_finetuned_mlqa_dev_samelen_english_hindi_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | mbert_finetuned_mlqa_dev_samelen_english_hindi_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 625.5 MB |
References
https://huggingface.co/roshnir/mBert-finetuned-mlqa-dev-samelen-en-hi
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering