Description
Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.ner_ner_random2_seed1_twitter_roberta_large_2022_154m_pipeline is a English model originally trained by tweettemposhift.
How to use
pipeline = PretrainedPipeline("ner_ner_random2_seed1_twitter_roberta_large_2022_154m_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("ner_ner_random2_seed1_twitter_roberta_large_2022_154m_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | ner_ner_random2_seed1_twitter_roberta_large_2022_154m_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.3 GB |
References
https://huggingface.co/tweettemposhift/ner-ner_random2_seed1-twitter-roberta-large-2022-154m
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForTokenClassification