Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ft_metaqa_3hop_top3_colbert_multihopcheckpoint_109500_pipeline is a English model originally trained by sakharamg.
How to use
pipeline = PretrainedPipeline("ft_metaqa_3hop_top3_colbert_multihopcheckpoint_109500_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ft_metaqa_3hop_top3_colbert_multihopcheckpoint_109500_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | ft_metaqa_3hop_top3_colbert_multihopcheckpoint_109500_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.4.2+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 3.0 GB |
References
https://huggingface.co/sakharamg/FT_metaqa_3hop_top3_COLBERT_multihopcheckpoint-109500
Included Models
- DocumentAssembler
- T5Transformer