Description
Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.marathisentiment_pipeline is a Marathi model originally trained by l3cube-pune.
How to use
pipeline = PretrainedPipeline("marathisentiment_pipeline", lang = "mr")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("marathisentiment_pipeline", lang = "mr")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | marathisentiment_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | mr |
| Size: | 127.8 MB |
References
https://huggingface.co/l3cube-pune/MarathiSentiment
Included Models
- DocumentAssembler
- TokenizerModel
- AlbertForSequenceClassification