Description
Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.distilbert_base_multilingual_cased_sentiments_student_pr_2_pipeline
is a Multilingual model originally trained by Lyubka.
How to use
pipeline = PretrainedPipeline("distilbert_base_multilingual_cased_sentiments_student_pr_2_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("distilbert_base_multilingual_cased_sentiments_student_pr_2_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
Model Name: | distilbert_base_multilingual_cased_sentiments_student_pr_2_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | xx |
Size: | 507.6 MB |
References
https://huggingface.co/Lyubka/distilbert-base-multilingual-cased-sentiments-student-pr-2
Included Models
- DocumentAssembler
- TokenizerModel
- DistilBertForSequenceClassification