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mwitiderrick commited on Feb 2, 2023

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c4971f2

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Update app.py

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@@ -7,7 +7,7 @@ classes = {0: 'tench, Tinca tinca',1: 'goldfish, Carassius auratus',2: 'great wh
 markdownn = '''
 # Image Classification Pipeline with DeepSparse
 Image classification is the task of identifying the type of object in an image and the corresponding confidence.
-![Image classification](https://huggingface.co/spaces/neuralmagic/cv-image-classification/resolve/main/class.png)
 ### What  is DeepSparse?
 DeepSparse is an inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application. Sparsification is a powerful technique for optimizing models for inference, reducing the compute needed with a limited accuracy tradeoff. DeepSparse is designed to take advantage of model sparsity, enabling you to deploy models with the flexibility and scalability of software on commodity CPUs with the best-in-class performance of hardware accelerators, enabling you to standardize operations and reduce infrastructure costs.
 Similar to Hugging Face, DeepSparse provides off-the-shelf pipelines for computer vision and NLP that wrap the model with proper pre- and post-processing to run performantly on CPUs by using sparse models.

 markdownn = '''
 # Image Classification Pipeline with DeepSparse
 Image classification is the task of identifying the type of object in an image and the corresponding confidence.
+![Image classification](https://huggingface.co/spaces/neuralmagic/image-classification/resolve/main/class.png)
 ### What  is DeepSparse?
 DeepSparse is an inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application. Sparsification is a powerful technique for optimizing models for inference, reducing the compute needed with a limited accuracy tradeoff. DeepSparse is designed to take advantage of model sparsity, enabling you to deploy models with the flexibility and scalability of software on commodity CPUs with the best-in-class performance of hardware accelerators, enabling you to standardize operations and reduce infrastructure costs.
 Similar to Hugging Face, DeepSparse provides off-the-shelf pipelines for computer vision and NLP that wrap the model with proper pre- and post-processing to run performantly on CPUs by using sparse models.