Description
Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.devicebert_base_cased_v1_0_pipeline is a English model originally trained by mfarrington.
How to use
pipeline = PretrainedPipeline("devicebert_base_cased_v1_0_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("devicebert_base_cased_v1_0_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | devicebert_base_cased_v1_0_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 869.3 MB |
References
https://huggingface.co/mfarrington/devicebert-base-cased-v1.0
Included Models
- DocumentAssembler
- TokenizerModel
- BertForTokenClassification