Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.multilingual_iptc_news_topic_classifier_pipeline is a Multilingual model originally trained by classla.
How to use
pipeline = PretrainedPipeline("multilingual_iptc_news_topic_classifier_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("multilingual_iptc_news_topic_classifier_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | multilingual_iptc_news_topic_classifier_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 1.8 GB |
References
https://huggingface.co/classla/multilingual-IPTC-news-topic-classifier
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification