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---
license: mit
datasets:
- ILSVRC/imagenet-1k
- mlfoundations/datacomp_small
base_model:
- openai/clip-vit-large-patch14
---
Model Initialized from `openai/clip-vit-large-patch14`. The image encoder is finetuned with FARE at $\epsilon=2/255$. The text encoder is finetuned with LEAF at $k=1$ with $\rho=5$.
To load this model use:
```python
from transformers import CLIPProcessor, CLIPModel
model_name = "LEAF-CLIP/CLIP-ViT-L-rho5-k1-FARE2"
processor_name = "openai/clip-vit-large-patch14"
model = CLIPModel.from_pretrained(model_name)
processor = CLIPProcessor.from_pretrained(processor_name)
``` |