Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.robertaiqbal_pipeline is a English model originally trained by cxfajar197.
How to use
pipeline = PretrainedPipeline("robertaiqbal_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("robertaiqbal_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | robertaiqbal_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 471.0 MB |
References
https://huggingface.co/cxfajar197/robertaiqbal
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings