Description
Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.patient_doctor_text_classifier_multilingual_old_pipeline is a Multilingual model originally trained by LukeGPT88.
How to use
pipeline = PretrainedPipeline("patient_doctor_text_classifier_multilingual_old_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("patient_doctor_text_classifier_multilingual_old_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | patient_doctor_text_classifier_multilingual_old_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 507.6 MB |
References
https://huggingface.co/LukeGPT88/patient-doctor-text-classifier-multilingual-old
Included Models
- DocumentAssembler
- TokenizerModel
- DistilBertForSequenceClassification