Description
Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.twitter_roberta_base_2019_90m_tweet_topic_single_2020_pipeline is a English model originally trained by cardiffnlp.
How to use
pipeline = PretrainedPipeline("twitter_roberta_base_2019_90m_tweet_topic_single_2020_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("twitter_roberta_base_2019_90m_tweet_topic_single_2020_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | twitter_roberta_base_2019_90m_tweet_topic_single_2020_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 468.3 MB |
References
https://huggingface.co/cardiffnlp/twitter-roberta-base-2019-90m-tweet-topic-single-2020
Included Models
- DocumentAssembler
- TokenizerModel
- RoBertaForSequenceClassification