Description
Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_bert_base_portuguese_cased_neuralmind_pipeline is a Portuguese model originally trained by neuralmind.
How to use
pipeline = PretrainedPipeline("sent_bert_base_portuguese_cased_neuralmind_pipeline", lang = "pt")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_bert_base_portuguese_cased_neuralmind_pipeline", lang = "pt")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_bert_base_portuguese_cased_neuralmind_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | pt |
| Size: | 406.5 MB |
References
https://huggingface.co/neuralmind/bert-base-portuguese-cased
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- BertSentenceEmbeddings