Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.tmvar_2e_05_0404_es6_strict_tok_pipeline is a English model originally trained by Brizape.
How to use
pipeline = PretrainedPipeline("tmvar_2e_05_0404_es6_strict_tok_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("tmvar_2e_05_0404_es6_strict_tok_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | tmvar_2e_05_0404_es6_strict_tok_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 408.2 MB |
References
https://huggingface.co/Brizape/tmvar_2e-05_0404_ES6_strict_tok
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification