text: 
  
  TITLE
  [WIP] add MobileViT model
  
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  # What does this PR do?
  
  Add the MobileViT model to Transformers. This is a computer vision model that combines CNNs with transformers: https://machinelearning.apple.com/research/vision-transformer
  
  The model comes in three sizes: small, extra small, and xx-small. There are three heads: image classification, object detection, and semantic segmentation.
  
  ## Before submitting
  - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case).
  - [x] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests),
        Pull Request section?
  - [x] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link
        to it if that's the case. (Internal discussion on Slack.)
  - [ ] Did you make sure to update the documentation with your changes? Here are the
        [documentation guidelines](https://github.com/huggingface/transformers/tree/main/docs), and
        [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation).
  - [ ] Did you write any new necessary tests?
  
  ## TODO
  
  - [ ] write tests
  - [ ] verify that finetuning a model works correctly
  - [ ] deal with the original license
  - [ ] ONNX config
  - [ ] add object detection (SSD) model
  - [ ] add semantic segmentation (DeepLab) model
  
  
  ## Who can review?
  
  Anyone in the community is free to review the PR once the tests have passed. Feel free to tag
  members/contributors who may be interested in your PR.
  
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  Models:
  
  - albert, bert, xlm: @LysandreJik
  - blenderbot, bart, marian, pegasus, encoderdecoder,  t5: @patrickvonplaten, @patil-suraj
  - longformer, reformer, transfoxl, xlnet: @patrickvonplaten
  - fsmt: @stas00
  - funnel: @sgugger
  - gpt2: @patrickvonplaten, @LysandreJik
  - rag: @patrickvonplaten, @lhoestq
  - tensorflow: @LysandreJik
  
  Library:
  
  - benchmarks: @patrickvonplaten
  - deepspeed: @stas00
  - ray/raytune: @richardliaw, @amogkam
  - text generation: @patrickvonplaten
  - tokenizers: @n1t0, @LysandreJik
  - trainer: @sgugger
  - pipelines: @LysandreJik
  
  Documentation: @sgugger
  
  HF projects:
  
  - datasets: [different repo](https://github.com/huggingface/datasets)
  - rust tokenizers: [different repo](https://github.com/huggingface/tokenizers)
  
  Examples:
  
  - maintained examples (not research project or legacy): @sgugger, @patil-suraj
  - research_projects/bert-loses-patience: @JetRunner
  - research_projects/distillation: @VictorSanh
  
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