Description
Pretrained XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.20230328_002_baseline_xlmr_clickbait_spoiling_pipeline is a English model originally trained by intanm.
How to use
pipeline = PretrainedPipeline("20230328_002_baseline_xlmr_clickbait_spoiling_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("20230328_002_baseline_xlmr_clickbait_spoiling_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | 20230328_002_baseline_xlmr_clickbait_spoiling_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 876.4 MB |
References
https://huggingface.co/intanm/20230328-002-baseline-xlmr-clickbait-spoiling
Included Models
- MultiDocumentAssembler
- XlmRoBertaForQuestionAnswering