Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.olm_roberta_base_latest_summarization_reward_model_pipeline is a English model originally trained by Tristan.
How to use
pipeline = PretrainedPipeline("olm_roberta_base_latest_summarization_reward_model_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("olm_roberta_base_latest_summarization_reward_model_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | olm_roberta_base_latest_summarization_reward_model_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 467.8 MB |
References
https://huggingface.co/Tristan/olm-roberta-base-latest_summarization_reward_model
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification