Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.cs221_xlm_roberta_base_esp_finetuned_finetuned_esp_tapt_pipeline is a English model originally trained by Kuongan.
How to use
pipeline = PretrainedPipeline("cs221_xlm_roberta_base_esp_finetuned_finetuned_esp_tapt_pipeline", lang = "en")
annotations =  pipeline.transform(df)   
val pipeline = new PretrainedPipeline("cs221_xlm_roberta_base_esp_finetuned_finetuned_esp_tapt_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | cs221_xlm_roberta_base_esp_finetuned_finetuned_esp_tapt_pipeline | 
| Type: | pipeline | 
| Compatibility: | Spark NLP 5.5.1+ | 
| License: | Open Source | 
| Edition: | Official | 
| Language: | en | 
| Size: | 803.2 MB | 
References
https://huggingface.co/Kuongan/CS221-xlm-roberta-base-esp-finetuned-finetuned-esp-tapt
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification