Description
Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.albert_finetuned_tenbook_epoch_pipeline
is a English model originally trained by DaydreamerF.
How to use
pipeline = PretrainedPipeline("albert_finetuned_tenbook_epoch_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("albert_finetuned_tenbook_epoch_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | albert_finetuned_tenbook_epoch_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 37.4 MB |
References
https://huggingface.co/DaydreamerF/albert-finetuned-TENBOOK-epoch
Included Models
- MultiDocumentAssembler
- BertForQuestionAnswering