Add model 2025-02-02-burmese_awesome_food_model_lunk666_en

docs/_posts/ahmedlone127/2025-02-02-burmese_awesome_food_model_lunk666_en.md

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+---
+layout: model
+title: English burmese_awesome_food_model_lunk666 ViTForImageClassification from Lunk666
+author: John Snow Labs
+name: burmese_awesome_food_model_lunk666
+date: 2025-02-02
+tags: [en, open_source, onnx, image_classification, vit]
+task: Image Classification
+language: en
+edition: Spark NLP 5.5.1
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: ViTForImageClassification
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained ViTForImageClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_food_model_lunk666` is a English model originally trained by Lunk666.
+
+{:.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/burmese_awesome_food_model_lunk666_en_5.5.1_3.0_1738471752561.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_food_model_lunk666_en_5.5.1_3.0_1738471752561.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 = ViTForImageClassification.pretrained(""burmese_awesome_food_model_lunk666","en")\
+  .setInputCols("image_assembler")\
+  .setOutputCol("class")
+
+pipeline = Pipeline(stages=[
+  image_assembler,
+  imageClassifier,
+])
+
+pipelineModel = pipeline.fit(imageDF)
+
+pipelineDF = pipelineModel.transform(imageDF)
+
+```
+```scala
+
+val imageAssembler = new ImageAssembler()
+    .setInputCol("image")
+    .setOutputCol("image_assembler")
+
+val imageClassifier =  ViTForImageClassification.pretrained("burmese_awesome_food_model_lunk666","en") 
+    .setInputCols("image_assembler") 
+    .setOutputCol("class") 
+
+val pipeline = new Pipeline().setStages(Array(imageAssembler, imageClassifier))
+
+val pipelineModel = pipeline.fit(imageDF)
+
+val pipelineDF = pipelineModel.transform(imageDF)
+
+```
+</div>
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_food_model_lunk666|
+|Compatibility:|Spark NLP 5.5.1+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[image_assembler]|
+|Output Labels:|[label]|
+|Language:|en|
+|Size:|321.6 MB|
+
+## References
+
+https://huggingface.co/Lunk666/my_awesome_food_model