Description
Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.autotrain_intent_classification_6categories_roberta_89129143858_pipeline
is a English model originally trained by yeye776.
How to use
pipeline = PretrainedPipeline("autotrain_intent_classification_6categories_roberta_89129143858_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("autotrain_intent_classification_6categories_roberta_89129143858_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | autotrain_intent_classification_6categories_roberta_89129143858_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.0+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 770.2 MB |
References
https://huggingface.co/yeye776/autotrain-intent-classification-6categories-roberta-89129143858
Included Models
- DocumentAssembler
- TokenizerModel
- XlmRoBertaForSequenceClassification