Description
Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.jmedroberta_base_sentencepiece_vocab50000_pipeline is a Japanese model originally trained by alabnii.
How to use
pipeline = PretrainedPipeline("jmedroberta_base_sentencepiece_vocab50000_pipeline", lang = "ja")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("jmedroberta_base_sentencepiece_vocab50000_pipeline", lang = "ja")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | jmedroberta_base_sentencepiece_vocab50000_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ja |
| Size: | 464.0 MB |
References
https://huggingface.co/alabnii/jmedroberta-base-sentencepiece-vocab50000
Included Models
- DocumentAssembler
- TokenizerModel
- BertEmbeddings