Description
Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.gena_lm_bert_base_t2t_pipeline is a English model originally trained by AIRI-Institute.
How to use
pipeline = PretrainedPipeline("gena_lm_bert_base_t2t_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("gena_lm_bert_base_t2t_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | gena_lm_bert_base_t2t_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 262.6 MB |
References
https://huggingface.co/AIRI-Institute/gena-lm-bert-base-t2t
Included Models
- DocumentAssembler
- TokenizerModel
- BertEmbeddings