| # Examples | |
| ## Zero-Shot Classification | |
| ```sh | |
| pip install torch # whatever version you want | |
| pip install open_clip_torch numpy tqdm torchvision | |
| ``` | |
| Suppose you want to evaluate BioCLIP on zero-shot classification on two tasks, `<DATASET-NAME>` and `<DATASET2-NAME>`. | |
| You can use `examples/zero_shot.py` to get top1 and top5 accuracy assuming your tasks are arranged as `torchvision`'s [`ImageFolder`](https://pytorch.org/vision/stable/generated/torchvision.datasets.ImageFolder.html) wants. | |
| ```sh | |
| python examples/zero_shot.py \ | |
| --datasets <DATASET-NAME>=<DATASET-FOLDER> <DATASET2-NAME>=<DATASET2-FOLDER> | |
| ``` | |
| This will write to `logs/bioclip-zero-shot/results.json` with your results. |