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--- |
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tags: |
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- image-classification |
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- pytorch |
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- huggingpics |
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metrics: |
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- accuracy |
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model-index: |
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- name: meme-id |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.6785714030265808 |
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--- |
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# meme-id |
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Autogenerated by HuggingPics🤗🖼️ |
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Create your own image classifier for **anything** by running [the demo on Google Colab](https://colab.research.google.com/github/nateraw/huggingpics/blob/main/HuggingPics.ipynb). |
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Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics). |
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## Example Images |
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#### cat meme |
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![cat meme](images/cat_meme.jpg) |
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#### dog meme |
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![dog meme](images/dog_meme.jpg) |
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#### pipe meme |
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![pipe meme](images/pipe_meme.jpg) |
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#### sigma meme |
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![sigma meme](images/sigma_meme.jpg) |
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#### skibidi toilet meme |
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![skibidi toilet meme](images/skibidi_toilet_meme.jpg) |