Description
Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.icebert_large_pipeline is a Icelandic model originally trained by mideind.
How to use
pipeline = PretrainedPipeline("icebert_large_pipeline", lang = "is")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("icebert_large_pipeline", lang = "is")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | icebert_large_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | is |
| Size: | 844.3 MB |
References
https://huggingface.co/mideind/IceBERT-large
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaEmbeddings