Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.tacl_bert_base_uncased_finetuned_squad_task_pipeline is a English model originally trained by sandeepvarma99.
How to use
pipeline = PretrainedPipeline("tacl_bert_base_uncased_finetuned_squad_task_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("tacl_bert_base_uncased_finetuned_squad_task_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | tacl_bert_base_uncased_finetuned_squad_task_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.3 GB |
References
https://huggingface.co/sandeepvarma99/TaCL-bert-base-uncased-finetuned-squad-task
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering