Description
Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bmu_finetuned_pubmedbert_mlm_medquad_pipeline is a English model originally trained by Deepanshu7284.
How to use
pipeline = PretrainedPipeline("bmu_finetuned_pubmedbert_mlm_medquad_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bmu_finetuned_pubmedbert_mlm_medquad_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bmu_finetuned_pubmedbert_mlm_medquad_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 408.2 MB |
References
https://huggingface.co/Deepanshu7284/BMU_Finetuned_PubMedBERT_MLM_MedQUAD
Included Models
- DocumentAssembler
- TokenizerModel
- BertEmbeddings