Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.doc2query_mt5_mmarco_indicmarco_bengali_pipeline is a English model originally trained by iutsslir.
How to use
pipeline = PretrainedPipeline("doc2query_mt5_mmarco_indicmarco_bengali_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("doc2query_mt5_mmarco_indicmarco_bengali_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | doc2query_mt5_mmarco_indicmarco_bengali_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 2.7 GB |
References
https://huggingface.co/iutsslir/doc2query-mt5-mmarco-indicmarco-bn
Included Models
- DocumentAssembler
- T5Transformer