Repository: huggingface/transformers
Pull request: Fix an annoying flaky test

# What does this PR do?

As per title, trying to download the image from `picsum` times out if we run the test many times, so I moved the image to HF hub. AFAIK we can make many subsequent requests to hub downloads when testing

Changed files:
filename: tests/test_tokenization_mistral_common.py
patch: @@ -32,7 +32,7 @@
     from mistral_common.tokens.tokenizers.mistral import MistralTokenizer
 
 
-IMG_URL = "https://picsum.photos/id/237/200/300"
+IMG_URL = "https://huggingface.co/datasets/raushan-testing-hf/images_test/resolve/main/picsum_237_200x300.jpg"
 IMG_BASE_64 = 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"""
 
 AUDIO_NAMESPACE = "hf-internal-testing"