Description
Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_greeksocialbert_base_greek_social_media_v2_pipeline is a Modern Greek (1453-) model originally trained by pchatz.
How to use
pipeline = PretrainedPipeline("sent_greeksocialbert_base_greek_social_media_v2_pipeline", lang = "el")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_greeksocialbert_base_greek_social_media_v2_pipeline", lang = "el")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_greeksocialbert_base_greek_social_media_v2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | el |
| Size: | 421.8 MB |
References
https://huggingface.co/pchatz/greeksocialbert-base-greek-social-media-v2
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- BertSentenceEmbeddings