Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.odia_topic_all_doc_pipeline is a Oriya (macrolanguage) model originally trained by l3cube-pune.
How to use
pipeline = PretrainedPipeline("odia_topic_all_doc_pipeline", lang = "or")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("odia_topic_all_doc_pipeline", lang = "or")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | odia_topic_all_doc_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | or |
| Size: | 892.7 MB |
References
https://huggingface.co/l3cube-pune/odia-topic-all-doc
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification