Description
Pretrained T5Transformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.sft_mt5_pile_ner_test_seq2seq_format_pipeline is a English model originally trained by vietnqw.
How to use
pipeline = PretrainedPipeline("sft_mt5_pile_ner_test_seq2seq_format_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("sft_mt5_pile_ner_test_seq2seq_format_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | sft_mt5_pile_ner_test_seq2seq_format_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 2.3 GB |
References
https://huggingface.co/vietnqw/sft_mt5-Pile-NER-test-seq2seq-format
Included Models
- DocumentAssembler
- T5Transformer