Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.albert_news_classification_pipeline is a Twi model originally trained by clhuang.
How to use
pipeline = PretrainedPipeline("albert_news_classification_pipeline", lang = "tw")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("albert_news_classification_pipeline", lang = "tw")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | albert_news_classification_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | tw |
| Size: | 39.8 MB |
References
https://huggingface.co/clhuang/albert-news-classification
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification