Description
Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_knesset_dictabert_pipeline is a Hebrew model originally trained by GiliGold.
How to use
pipeline = PretrainedPipeline("sent_knesset_dictabert_pipeline", lang = "he")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_knesset_dictabert_pipeline", lang = "he")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_knesset_dictabert_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | he |
| Size: | 689.7 MB |
References
https://huggingface.co/GiliGold/Knesset-DictaBERT
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- BertSentenceEmbeddings