Multilingual mindaid_diagnosis_bert_base_multilingual_cased_pipeline pipeline BertForSequenceClassification from SiddharthShukla48

Description

Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mindaid_diagnosis_bert_base_multilingual_cased_pipeline is a Multilingual model originally trained by SiddharthShukla48.

Download Copy S3 URI

How to use


pipeline = PretrainedPipeline("mindaid_diagnosis_bert_base_multilingual_cased_pipeline", lang = "xx")
annotations =  pipeline.transform(df)   


val pipeline = new PretrainedPipeline("mindaid_diagnosis_bert_base_multilingual_cased_pipeline", lang = "xx")
val annotations = pipeline.transform(df)

Model Information

Model Name: mindaid_diagnosis_bert_base_multilingual_cased_pipeline
Type: pipeline
Compatibility: Spark NLP 5.5.1+
License: Open Source
Edition: Official
Language: xx
Size: 667.3 MB

References

https://huggingface.co/SiddharthShukla48/MindAid_Diagnosis_bert-base-multilingual-cased

Included Models

  • DocumentAssembler
  • TokenizerModel
  • BertForSequenceClassification