Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.malayalam_topic_all_doc_pipeline
is a Malayalam model originally trained by l3cube-pune.
How to use
pipeline = PretrainedPipeline("malayalam_topic_all_doc_pipeline", lang = "ml")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("malayalam_topic_all_doc_pipeline", lang = "ml")
val annotations = pipeline.transform(df)
Model Information
Model Name: | malayalam_topic_all_doc_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | ml |
Size: | 892.8 MB |
References
https://huggingface.co/l3cube-pune/malayalam-topic-all-doc
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification