Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.indobert_base_uncased_qa_evaluator_pipeline is a English model originally trained by widyanto.
How to use
pipeline = PretrainedPipeline("indobert_base_uncased_qa_evaluator_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("indobert_base_uncased_qa_evaluator_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | indobert_base_uncased_qa_evaluator_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 414.0 MB |
References
https://huggingface.co/widyanto/indobert-base-uncased-qa-evaluator
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification