Downloads · 30 days
9
24% of all-time downloads
LEAF-CLIP/CLIP-ViT-L-rho2-k2-FARE2
CLIP-ViT-L-rho2-k2-FARE2 is a machine learning model from LEAF-CLIP. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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 $k=2$ with $\rho=2$.
Downloads · 30 days
9
24% of all-time downloads
All-time downloads
37
Public
Parameters
428M
1.7 GB on disk
Likes
0
Public
Click a slice to open those files.
.safetensors1.7 GB · 100%
From the Hugging Face model README
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 $k=2$ with $\rho=2$.
To load this model use:
from transformers import CLIPProcessor, CLIPModel
model_name = "LEAF-CLIP/CLIP-ViT-L-rho2-k2-FARE2"
processor_name = "openai/clip-vit-large-patch14"
model = CLIPModel.from_pretrained(model_name)
processor = CLIPProcessor.from_pretrained(processor_name)