Description
Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bulbert_chitanka_model_pipeline is a Bulgarian model originally trained by mor40.
How to use
pipeline = PretrainedPipeline("bulbert_chitanka_model_pipeline", lang = "bg")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bulbert_chitanka_model_pipeline", lang = "bg")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bulbert_chitanka_model_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | bg |
| Size: | 306.1 MB |
References
https://huggingface.co/mor40/BulBERT-chitanka-model
Included Models
- DocumentAssembler
- TokenizerModel
- BertEmbeddings