Description
Pretrained XlmRoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.afriberta_v2_base_pipeline
is a English model originally trained by castorini.
How to use
pipeline = PretrainedPipeline("afriberta_v2_base_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("afriberta_v2_base_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | afriberta_v2_base_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 645.7 MB |
References
https://huggingface.co/castorini/afriberta_v2_base
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaEmbeddings