Description
Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.iotnation_companyname_extraction_qa_model_1_2_roberta_pipeline is a English model originally trained by chriskim2273.
How to use
pipeline = PretrainedPipeline("iotnation_companyname_extraction_qa_model_1_2_roberta_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("iotnation_companyname_extraction_qa_model_1_2_roberta_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | iotnation_companyname_extraction_qa_model_1_2_roberta_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 463.7 MB |
References
https://huggingface.co/chriskim2273/IOTNation_CompanyName_Extraction_QA_Model_1.2_Roberta
Included Models
- MultiDocumentAssembler
- RoBertaForQuestionAnswering