Description
Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.seq2tag_grammar_pipeline is a English model originally trained by lenguist.
How to use
pipeline = PretrainedPipeline("seq2tag_grammar_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("seq2tag_grammar_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | seq2tag_grammar_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 406.5 MB |
References
https://huggingface.co/lenguist/seq2tag-grammar
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForTokenClassification