Description
Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mbert_hindi_telugu_mlm_pipeline is a Hindi model originally trained by hapandya.
How to use
pipeline = PretrainedPipeline("mbert_hindi_telugu_mlm_pipeline", lang = "hi")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mbert_hindi_telugu_mlm_pipeline", lang = "hi")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | mbert_hindi_telugu_mlm_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | hi |
| Size: | 663.2 MB |
References
https://huggingface.co/hapandya/mBERT-hi-te-MLM
Included Models
- DocumentAssembler
- TokenizerModel
- BertEmbeddings