Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.685cb35d_d7bd_43cd_ab07_141509256d7d_pipeline
is a English model originally trained by IDQO.
How to use
pipeline = PretrainedPipeline("685cb35d_d7bd_43cd_ab07_141509256d7d_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("685cb35d_d7bd_43cd_ab07_141509256d7d_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | 685cb35d_d7bd_43cd_ab07_141509256d7d_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 438.0 MB |
References
https://huggingface.co/IDQO/685cb35d-d7bd-43cd-ab07-141509256d7d
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification