Description
Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_bulgarian_lit_web_base_uncased_pipeline
is a Bulgarian model originally trained by AIaLT-IICT.
How to use
pipeline = PretrainedPipeline("bert_bulgarian_lit_web_base_uncased_pipeline", lang = "bg")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bert_bulgarian_lit_web_base_uncased_pipeline", lang = "bg")
val annotations = pipeline.transform(df)
Model Information
Model Name: | bert_bulgarian_lit_web_base_uncased_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | bg |
Size: | 465.0 MB |
References
https://huggingface.co/AIaLT-IICT/bert_bg_lit_web_base_uncased
Included Models
- DocumentAssembler
- TokenizerModel
- BertEmbeddings