Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.autotrain_air_sea_services_syn_mixed_data_28092023_91916144627_pipeline
is a English model originally trained by sxandie.
How to use
pipeline = PretrainedPipeline("autotrain_air_sea_services_syn_mixed_data_28092023_91916144627_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("autotrain_air_sea_services_syn_mixed_data_28092023_91916144627_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | autotrain_air_sea_services_syn_mixed_data_28092023_91916144627_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 781.5 MB |
References
https://huggingface.co/sxandie/autotrain-air-sea-services-syn-mixed-data-28092023-91916144627
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification