Description
Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.log_pretrained_bert_pipeline is a English model originally trained by eun-woo.
How to use
pipeline = PretrainedPipeline("log_pretrained_bert_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("log_pretrained_bert_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | log_pretrained_bert_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 407.6 MB |
References
https://huggingface.co/eun-woo/log_pretrained-bert
Included Models
- DocumentAssembler
- TokenizerModel
- BertEmbeddings