Description
Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.msbert_pipeline is a Hebrew model originally trained by dicta-il.
How to use
pipeline = PretrainedPipeline("msbert_pipeline", lang = "he")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("msbert_pipeline", lang = "he")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | msbert_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | he |
| Size: | 440.6 MB |
References
https://huggingface.co/dicta-il/MsBERT
Included Models
- DocumentAssembler
- TokenizerModel
- BertEmbeddings