Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.bert_base_uncased_classification_flat_pipeline is a English model originally trained by irfanamal.
How to use
pipeline = PretrainedPipeline("bert_base_uncased_classification_flat_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("bert_base_uncased_classification_flat_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | bert_base_uncased_classification_flat_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 411.0 MB |
References
https://huggingface.co/irfanamal/bert-base-uncased-classification-flat
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification