---
license: mit
datasets:
- ILSVRC/imagenet-1k
- mlfoundations/datacomp_small
base_model:
- laion/CLIP-ViT-H-14-laion2B-s32B-b79K
---

Model Initialized from `laion/CLIP-ViT-H-14-laion2B-s32B-b79K`. The image encoder is finetuned with FARE at $\epsilon=2/255$. The text encoder is finetuned with LEAF at $k=1$ with $\rho=50$.

To load this model use:

```python
from transformers import CLIPProcessor, CLIPModel

model_name = "LEAF-CLIP/OpenCLIP-ViT-H-rho50-k1-FARE2"
processor_name = "laion/CLIP-ViT-H-14-laion2B-s32B-b79K"

model = CLIPModel.from_pretrained(model_name)
processor = CLIPProcessor.from_pretrained(processor_name)
```