
# [Visual Product Recognition Challenge](https://www.aicrowd.com/challenges/visual-product-recognition-challenge-2023)


The trained models for the competition. The training code for the models can be found in [HCA97/Product-Recognition](https://github.com/HCA97/Product-Recognition).


# How to use it?

You need to install `open_clip` library.

```bash
pip install open_clip
```

Example of loading the model:

```py
model = open_clip.create_model_and_transforms('ViT-H-14', None)[0].visual
model.load_state_dict(th.load('path to model'))
model.half()
model.eval()
```
{"license": "mit"}
license:mit has_space region:us
TAGS
#license-mit #has_space #region-us 


# Visual Product Recognition Challenge


The trained models for the competition. The training code for the models can be found in HCA97/Product-Recognition.


# How to use it?

You need to install 'open_clip' library.



Example of loading the model:


# Visual Product Recognition Challenge


The trained models for the competition. The training code for the models can be found in HCA97/Product-Recognition. # How to use it?

You need to install 'open_clip' library.



Example of loading the model:
TAGS
#license-mit #has_space #region-us 
 # Visual Product Recognition Challenge


The trained models for the competition. The training code for the models can be found in HCA97/Product-Recognition. # How to use it?

You need to install 'open_clip' library.



Example of loading the model:
TAGS
#license-mit #has_space #region-us 
# Visual Product Recognition Challenge


The trained models for the competition. The training code for the models can be found in HCA97/Product-Recognition.# How to use it?

You need to install 'open_clip' library.



Example of loading the model: