Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.idmgsp_roberta_train_gpt3_introduction_pipeline is a English model originally trained by tum-nlp.
How to use
pipeline = PretrainedPipeline("idmgsp_roberta_train_gpt3_introduction_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("idmgsp_roberta_train_gpt3_introduction_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | idmgsp_roberta_train_gpt3_introduction_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 455.6 MB |
References
https://huggingface.co/tum-nlp/IDMGSP-RoBERTa-TRAIN_GPT3-INTRODUCTION
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification