## Data

Due to space limitations, our checkpoint files and data will be shared later via Google Drive. 

The weights for ViT-B/32 and ViT-B/16 can be downloaded as follows:

```bash
cd tvr/models
wget https://openaipublic.azureedge.net/clip/models/40d365715913c9da98579312b702a82c18be219cc2a73407c4526f58eba950af/ViT-B-32.pt
# wget https://openaipublic.azureedge.net/clip/models/5806e77cd80f8b59890b7e101eabd078d9fb84e6937f9e85e4ecb61988df416f/ViT-B-16.pt
```

All datasets used in our work are publicly available and can be accessed online.

## Setup Environment

```bash
conda create -n MBDA python=3.9
conda activate MBDA
pip install -r requirements.txt
pip install torch==1.8.1+cu102 torchvision==0.9.1+cu102 -f https://download.pytorch.org/whl/torch_stable.html
```



