Add model card for MobileViT #40033
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Add model card for MobileViT #40033
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@stevhliu Please take a look at your convenience and do let me know if there is any further changes required. |
stevhliu
reviewed
Aug 8, 2025
| Most of the models that uses Transformers for vision would first divide the images into several patches which are further flattened and converted into vectors. This causes in the loss of structural properties of an image, which isn't the case for CNNs. Now, this causes the Transformer models to go bigger and deeper to learn visual representations. | ||
| But MobileViT uses both convolutions and transformers in a way that the resultant block has convolution-like properties while simultaneously allowing for global interactions. This allows us to design a more shallow and narrow models, which are light-weight. | ||
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Can you upload the image here and then ping me to merge please :)
The image should be formatted like:
<div class="flex justify-center">
<img>
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Hey @stevhliu , I have uploaded the image and pinged you there, can you please check and merge it. I have also made the changes you suggested in the model card, let me know if everything looks good. I will add the image to the model card once you merge it. Thanks
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
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What does this PR do?
This PR adds a detailed and beginner-friendly model card for MobileViT to the Hugging Face Transformers documentation. The previous model card was minimal and lacked clear explanations about the model architecture. This model retains several elements from the earlier version, as they remain applicable and effective for users.
The new version includes:
Fixes # (issue)
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