How to use google/vit-base-patch16-224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="google/vit-base-patch16-224") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("google/vit-base-patch16-224") model = AutoModelForImageClassification.from_pretrained("google/vit-base-patch16-224")
When push_to_hub=True, I get this error:
But when I comment out push_to_hub, the model is able to train without any errors. And this is the same for using pipeline as well. What could be the problem?
I was reading token instead of write token. Now, am able to push checkpoints to the hub
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