Description
Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_estbert_512_pipeline is a Estonian model originally trained by tartuNLP.
How to use
pipeline = PretrainedPipeline("sent_estbert_512_pipeline", lang = "et")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_estbert_512_pipeline", lang = "et")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_estbert_512_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | et |
| Size: | 464.0 MB |
References
https://huggingface.co/tartuNLP/EstBERT_512
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- BertSentenceEmbeddings