English longclip_l_diffusers CLIPForZeroShotClassification from Azazelle

Description

Pretrained CLIPForZeroShotClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.longclip_l_diffusers is a English model originally trained by Azazelle.

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How to use


imageDF = spark.read \
    .format("image") \
    .option("dropInvalid", value = True) \
    .load("src/test/resources/image/")
    
candidateLabels = [
    "a photo of a bird",
    "a photo of a cat",
    "a photo of a dog",
    "a photo of a hen",
    "a photo of a hippo",
    "a photo of a room",
    "a photo of a tractor",
    "a photo of an ostrich",
    "a photo of an ox"]

ImageAssembler = ImageAssembler() \
	.setInputCol("image") \
	.setOutputCol("image_assembler")

imageClassifier = CLIPForZeroShotClassification.pretrained("longclip_l_diffusers","en") \
     .setInputCols(["image_assembler"]) \
     .setOutputCol("label") \
     .setCandidateLabels(candidateLabels)

pipeline = Pipeline().setStages([ImageAssembler, imageClassifier])
pipelineModel = pipeline.fit(imageDF)
pipelineDF = pipelineModel.transform(imageDF)



		
val imageDF = ResourceHelper.spark.read
  .format("image")
  .option("dropInvalid", value = true)
  .load("src/test/resources/image/")

val candidateLabels = Array(
  "a photo of a bird",
  "a photo of a cat",
  "a photo of a dog",
  "a photo of a hen",
  "a photo of a hippo",
  "a photo of a room",
  "a photo of a tractor",
  "a photo of an ostrich",
  "a photo of an ox")

val imageAssembler = new ImageAssembler()
  .setInputCol("image")
  .setOutputCol("image_assembler")
  
val imageClassifier = CLIPForZeroShotClassification.pretrained("longclip_l_diffusers","en") \
     .setInputCols(Array("image_assembler")) \
     .setOutputCol("label") \
     .setCandidateLabels(candidateLabels)
  
val pipeline = new Pipeline().setStages(Array(imageAssembler, imageClassifier))
val pipelineModel = pipeline.fit(imageDF)
val pipelineDF = pipelineModel.transform(imageDF)

Model Information

Model Name: longclip_l_diffusers
Compatibility: Spark NLP 5.5.0+
License: Open Source
Edition: Official
Input Labels: [image_assembler]
Output Labels: [label]
Language: en
Size: 1.6 GB

References

https://huggingface.co/Azazelle/LongClip-L-diffusers