Description
Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.indobert_lite_base_p1_indonli_multilingual_nli_distil_mdeberta_pipeline is a Multilingual model originally trained by LazarusNLP.
How to use
pipeline = PretrainedPipeline("indobert_lite_base_p1_indonli_multilingual_nli_distil_mdeberta_pipeline", lang = "xx")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("indobert_lite_base_p1_indonli_multilingual_nli_distil_mdeberta_pipeline", lang = "xx")
val annotations = pipeline.transform(df)
Model Information
| Model Name: | indobert_lite_base_p1_indonli_multilingual_nli_distil_mdeberta_pipeline |
| Type: | pipeline |
| Compatibility: | Spark NLP 5.5.0+ |
| License: | Open Source |
| Edition: | Official |
| Language: | xx |
| Size: | 44.1 MB |
References
https://huggingface.co/LazarusNLP/indobert-lite-base-p1-indonli-multilingual-nli-distil-mdeberta
Included Models
- DocumentAssembler
- TokenizerModel
- BertForSequenceClassification