Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.afriberta_base_finetuned_hausa_2e_3_pipeline is a English model originally trained by grace-pro.
How to use
pipeline = PretrainedPipeline("afriberta_base_finetuned_hausa_2e_3_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("afriberta_base_finetuned_hausa_2e_3_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | afriberta_base_finetuned_hausa_2e_3_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 415.4 MB |
References
https://huggingface.co/grace-pro/afriberta-base-finetuned-hausa-2e-3
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification