README.md

---
base_model: google/vit-base-patch16-224-in21k
library_name: transformers
license: creativeml-openrail-m
inference: true
tags:
- image-classification
---

<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->


# Image Classification

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the Docty/Mangovariety dataset. 

You can find some example images in the following. 

![img_0](./image_0.png)
![img_1](./image_1.png)
![img_2](./image_2.png)
![img_3](./image_3.png)
![img_4](./image_4.png)
![img_5](./image_5.png)
![img_6](./image_6.png)
![img_7](./image_7.png)




## Intended uses & limitations

#### How to use

```python
# TODO: add an example code snippet for running this diffusion pipeline
```

#### Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

## Training details

[TODO: describe the data used to train the model]