Description
Pretrained AlbertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.qa_persian_albert_persian_farsi_zwnj_base_v2_pipeline is a English model originally trained by makhataei.
How to use
pipeline = PretrainedPipeline("qa_persian_albert_persian_farsi_zwnj_base_v2_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("qa_persian_albert_persian_farsi_zwnj_base_v2_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | qa_persian_albert_persian_farsi_zwnj_base_v2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 41.9 MB |
References
https://huggingface.co/makhataei/qa-persian-albert-fa-zwnj-base-v2
Included Models
- MultiDocumentAssembler
- AlbertForQuestionAnswering