Description
Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.stt_huggin_face_tech_nepal_bhasa_data_pipeline is a English model originally trained by Jose-Ribeir.
How to use
pipeline = PretrainedPipeline("stt_huggin_face_tech_nepal_bhasa_data_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("stt_huggin_face_tech_nepal_bhasa_data_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | stt_huggin_face_tech_nepal_bhasa_data_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 247.2 MB |
References
https://huggingface.co/Jose-Ribeir/stt_Huggin_face_tech_new_data
Included Models
- MultiDocumentAssembler
- DistilBertForQuestionAnswering