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manudeva
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intervUone

Image Classification
Transformers
PyTorch
TensorBoard
vit
huggingpics
Eval Results (legacy)
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intervUone
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---
tags:
- image-classification
- pytorch
- huggingpics
metrics:
- accuracy

model-index:
- name: intervUone
  results:
  - task:
      name: Image Classification
      type: image-classification
    metrics:
      - name: Accuracy
        type: accuracy
        value: 0.17499999701976776
---

# intervUone


Autogenerated by HuggingPics🤗🖼️

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).

Report any issues with the demo at the [github repo](https://github.com/nateraw/huggingpics).


## Example Images


#### person sitting in chair leaning back

![person sitting in chair leaning back](images/person_sitting_in_chair_leaning_back.jpg)

#### person sitting leaning left in chair

![person sitting leaning left in chair](images/person_sitting_leaning_left_in_chair.jpg)

#### person sitting leaning right in chair

![person sitting leaning right in chair](images/person_sitting_leaning_right_in_chair.jpg)

#### person sitting upright in chair

![person sitting upright in chair](images/person_sitting_upright_in_chair.jpg)

#### person slouching in chair

![person slouching in chair](images/person_slouching_in_chair.jpg)