Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.does_the_patient_have_any_symptoms_bert_last256_pipeline is a English model originally trained by etadevosyan.
How to use
pipeline = PretrainedPipeline("does_the_patient_have_any_symptoms_bert_last256_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("does_the_patient_have_any_symptoms_bert_last256_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | does_the_patient_have_any_symptoms_bert_last256_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 666.5 MB |
References
https://huggingface.co/etadevosyan/does_the_patient_have_any_symptoms_bert_Last256
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification