Description
Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sent_malayalam_bert_scratch_pipeline is a Malayalam model originally trained by l3cube-pune.
How to use
pipeline = PretrainedPipeline("sent_malayalam_bert_scratch_pipeline", lang = "ml")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sent_malayalam_bert_scratch_pipeline", lang = "ml")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sent_malayalam_bert_scratch_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | ml |
| Size: | 471.3 MB |
References
https://huggingface.co/l3cube-pune/malayalam-bert-scratch
Included Models
- DocumentAssembler
- TokenizerModel
- SentenceDetectorDLModel
- BertSentenceEmbeddings