Description
Pretrained SwinForImageClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.cfe_telmex_classification_finetuned_v3_pipeline
is a English model originally trained by JoseVilla.
How to use
pipeline = PretrainedPipeline("cfe_telmex_classification_finetuned_v3_pipeline", lang = "en")
annotations = pipeline.transform(df)
val pipeline = new PretrainedPipeline("cfe_telmex_classification_finetuned_v3_pipeline", lang = "en")
val annotations = pipeline.transform(df)
Model Information
Model Name: | cfe_telmex_classification_finetuned_v3_pipeline |
Type: | pipeline |
Compatibility: | Spark NLP 5.5.1+ |
License: | Open Source |
Edition: | Official |
Language: | en |
Size: | 206.3 MB |
References
https://huggingface.co/JoseVilla/cfe-telmex-classification-finetuned-v3
Included Models
- ImageAssembler
- SwinForImageClassification