Description
Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_crosloengual_bert_pipeline is a Croatian model originally trained by EMBEDDIA.
How to use
pipeline = PretrainedPipeline("sent_crosloengual_bert_pipeline", lang = "hr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_crosloengual_bert_pipeline", lang = "hr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_crosloengual_bert_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | hr |
| Size: | 464.0 MB |
References
https://huggingface.co/EMBEDDIA/crosloengual-bert
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- BertSentenceEmbeddings