2023-07-05-image_classifier_convnext_tiny_224_local_en

docs/_posts/gadde5300/2023-07-05-image_classifier_convnext_tiny_224_local_en.md

@@ -0,0 +1,75 @@
+---
+layout: model
+title: ConvNextForImageClassification - image_classifier_convnext_tiny_224_local
+author: John Snow Labs
+name: image_classifier_convnext_tiny_224_local
+date: 2023-07-05
+tags: [convnext, en, engligh, image_classification, imagenet, convolution, open_source, tensorflow]
+task: Image Classification
+language: en
+edition: Spark NLP 5.0.0
+spark_version: 3.0
+supported: true
+engine: tensorflow
+annotator: ConvNextForImageClassification
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained ConvNext model for Image Classification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.
+
+The ConvNeXT model was proposed in A ConvNet for the 2020s by Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/image_classifier_convnext_tiny_224_local_en_5.0.0_3.0_1688564243397.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/image_classifier_convnext_tiny_224_local_en_5.0.0_3.0_1688564243397.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+image_assembler = ImageAssembler()\
+  .setInputCol("image")\
+  .setOutputCol("image_assembler")
+
+imageClassifier = ConvNextForImageClassification.pretrained("image_classifier_convnext_tiny_224_local", "en")\
+  .setInputCols("image_assembler")\
+  .setOutputCol("class")
+
+pipeline = Pipeline(stages=[
+  image_assembler,
+  imageClassifier,
+])
+
+pipelineModel = pipeline.fit(imageDF)
+
+pipelineDF = pipelineModel.transform(imageDF)
+```
+
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|image_classifier_convnext_tiny_224_local|
+|Compatibility:|Spark NLP 5.0.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[image_assembler]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|107.6 MB|