Description
Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.news_demo_trainingrisk_multilingual_cased_v2_pipeline is a Multilingual model originally trained by yeelou.
How to use
pipeline = PretrainedPipeline("news_demo_trainingrisk_multilingual_cased_v2_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("news_demo_trainingrisk_multilingual_cased_v2_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | news_demo_trainingrisk_multilingual_cased_v2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 509.8 MB |
References
https://huggingface.co/yeelou/news-demo-trainingrisk-multilingual-cased-v2
Included Models
- DocumentAssembler
- TokenizerModel
- DistilBertForSequenceClassification