Safetensors
clip
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---
license: mit
datasets:
- ILSVRC/imagenet-1k
- mlfoundations/datacomp_small
base_model:
- laion/CLIP-ViT-bigG-14-laion2B-39B-b160k
---
Model Initialized from `laion/CLIP-ViT-bigG-14-laion2B-39B-b160k`. 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-bigG-rho50-k1"
processor_name = "laion/CLIP-ViT-bigG-14-laion2B-39B-b160k"
model = CLIPModel.from_pretrained(model_name)
processor = CLIPProcessor.from_pretrained(processor_name)
```