Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.mt5_budget_seq2seq_2_pipeline is a Thai model originally trained by napatswift.
How to use
pipeline = PretrainedPipeline("mt5_budget_seq2seq_2_pipeline", lang = "th")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("mt5_budget_seq2seq_2_pipeline", lang = "th")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | mt5_budget_seq2seq_2_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | th |
| Size: | 969.5 MB |
References
https://huggingface.co/napatswift/mt5-budget-seq2seq-2
Included Models
- DocumentAssembler
- T5Transformer