Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.arwiki_20230101_roberta_mlm_bots_pipeline is a Arabic model originally trained by SaiedAlshahrani.
How to use
pipeline = PretrainedPipeline("arwiki_20230101_roberta_mlm_bots_pipeline", lang = "ar")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("arwiki_20230101_roberta_mlm_bots_pipeline", lang = "ar")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | arwiki_20230101_roberta_mlm_bots_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ar |
| Size: | 311.7 MB |
References
https://huggingface.co/SaiedAlshahrani/arwiki_20230101_roberta_mlm_bots
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings