Description
This pretrained pipeline is built on the top of bert_sequence_classifier_age_news_en which is imported from HuggingFace.
How to use
news_pipeline = PretrainedPipeline("bert_sequence_classifier_age_news_pipeline", lang = "en")
news_pipeline.annotate("Microsoft has taken its first step into the metaverse.")
val news_pipeline = new PretrainedPipeline("bert_sequence_classifier_age_news_pipeline", lang = "en")
news_pipeline.annotate("Microsoft has taken its first step into the metaverse.")
Results
['Sci/Tech']
Model Information
| Model Name: | bert_sequence_classifier_age_news_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 3.4.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 42.4 MB |
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification