Description
Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_sinhala_bert_medium_v2_pipeline is a Sinhala, Sinhalese model originally trained by Ransaka.
How to use
pipeline = PretrainedPipeline("sent_sinhala_bert_medium_v2_pipeline", lang = "si")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_sinhala_bert_medium_v2_pipeline", lang = "si")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_sinhala_bert_medium_v2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | si |
| Size: | 187.9 MB |
References
https://huggingface.co/Ransaka/sinhala-bert-medium-v2
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- BertSentenceEmbeddings