Description
Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.babyberta_french_wikipedia_french_masking_finetuned_qamr_lielbin_pipeline is a English model originally trained by lielbin.
How to use
pipeline = PretrainedPipeline("babyberta_french_wikipedia_french_masking_finetuned_qamr_lielbin_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("babyberta_french_wikipedia_french_masking_finetuned_qamr_lielbin_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | babyberta_french_wikipedia_french_masking_finetuned_qamr_lielbin_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 32.0 MB |
References
https://huggingface.co/lielbin/BabyBERTa_french_wikipedia_french-Masking-finetuned-qamr
Included Models
- MultiDocumentAssembler
- RoBertaForQuestionAnswering