Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.b706f448_b1e7_4383_912d_79006b0f7393_pipeline is a English model originally trained by IDQO.
How to use
pipeline = PretrainedPipeline("b706f448_b1e7_4383_912d_79006b0f7393_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("b706f448_b1e7_4383_912d_79006b0f7393_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | b706f448_b1e7_4383_912d_79006b0f7393_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 438.0 MB |
References
https://huggingface.co/IDQO/b706f448-b1e7-4383-912d-79006b0f7393
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification