Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.autotrain_luc_comp429_victorian_authorship_classification_52472123759_pipeline is a English model originally trained by NicholasSynovic.
How to use
pipeline = PretrainedPipeline("autotrain_luc_comp429_victorian_authorship_classification_52472123759_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("autotrain_luc_comp429_victorian_authorship_classification_52472123759_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | autotrain_luc_comp429_victorian_authorship_classification_52472123759_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.3 GB |
References
https://huggingface.co/NicholasSynovic/autotrain-luc-comp429-victorian-authorship-classification-52472123759
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification