Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.xlm_roberta_base_trimmed_german_60000_tweet_sentiment_german_pipeline is a English model originally trained by vocabtrimmer.
How to use
pipeline = PretrainedPipeline("xlm_roberta_base_trimmed_german_60000_tweet_sentiment_german_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("xlm_roberta_base_trimmed_german_60000_tweet_sentiment_german_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | xlm_roberta_base_trimmed_german_60000_tweet_sentiment_german_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 444.5 MB |
References
https://huggingface.co/vocabtrimmer/xlm-roberta-base-trimmed-de-60000-tweet-sentiment-de
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification