Description
Pretrained SwinForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.autotrain_document_text_language_arabic_english_chinese_3338392240_pipeline
is a English model originally trained by ernie-ai.
How to use
pipeline = PretrainedPipeline("autotrain_document_text_language_arabic_english_chinese_3338392240_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("autotrain_document_text_language_arabic_english_chinese_3338392240_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | autotrain_document_text_language_arabic_english_chinese_3338392240_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 206.3 MB |
References
https://huggingface.co/ernie-ai/autotrain-document-text-language-ar-en-zh-3338392240
Included Models
- ImageAssembler
- SwinForImageClassification