Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.twitter_xlm_roberta_base_sentiment_deletion_multiclass_spanish_masked_pipeline is a English model originally trained by research-dump.
How to use
pipeline = PretrainedPipeline("twitter_xlm_roberta_base_sentiment_deletion_multiclass_spanish_masked_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("twitter_xlm_roberta_base_sentiment_deletion_multiclass_spanish_masked_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | twitter_xlm_roberta_base_sentiment_deletion_multiclass_spanish_masked_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.1+ |
| License: | Open Source |
| Edition: | Official |
| Language: | en |
| Size: | 1.0 GB |
References
https://huggingface.co/research-dump/twitter-xlm-roberta-base-sentiment_deletion_multiclass_es_masked
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification