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tiny-random-vit_ipex_model

Image Classification
Transformers
PyTorch
vit
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Update README.md

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@@ -14,4 +14,4 @@ model = IPEXModelForImageClassification.from_pretrained("hf-internal-testing/tin
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  model.push_to_hub("Intel/tiny-random-vit_ipex_model")
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  ```
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- This is useful for functional testing (not quality generation, since its weights are random)
 
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  model.push_to_hub("Intel/tiny-random-vit_ipex_model")
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  ```
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+ This is useful for functional testing (not quality generation, since its weights are random) on [optimum-intel](https://github.com/huggingface/optimum-intel/blob/main/tests/ipex/utils_tests.py)