Description
Pretrained CamemBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.wangchanberta_qa_thaiqa_squad_pipeline
is a Thai model originally trained by Thammarak.
How to use
pipeline = PretrainedPipeline("wangchanberta_qa_thaiqa_squad_pipeline", lang = "th")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("wangchanberta_qa_thaiqa_squad_pipeline", lang = "th")
val annotations = pipeline.transform(df)
Model Information
Model Name: | wangchanberta_qa_thaiqa_squad_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.4.2+ |
License: | Open Source |
Edition: | Official |
Language: | th |
Size: | 392.1 MB |
References
https://huggingface.co/Thammarak/wangchanBERTa-QA-thaiqa_squad
Included Models
- MultiDocumentAssembler
- CamemBertForQuestionAnswering