Description
Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.distilbert_base_uncased_italian_chamorro_cree_entry_classification_pipeline is a Italian model originally trained by reflex-project.
How to use
pipeline = PretrainedPipeline("distilbert_base_uncased_italian_chamorro_cree_entry_classification_pipeline", lang = "it")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("distilbert_base_uncased_italian_chamorro_cree_entry_classification_pipeline", lang = "it")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | distilbert_base_uncased_italian_chamorro_cree_entry_classification_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | it |
| Size: | 249.5 MB |
References
https://huggingface.co/reflex-project/distilbert-base-uncased-italian-ch-cr-entry-classification
Included Models
- DocumentAssembler
- TokenizerModel
- DistilBertForSequenceClassification