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OpenCLIP-ViT-g-rho50-k1-constrained
LEAF-CLIP/OpenCLIP-ViT-g-rho50-k1-constrained
OpenCLIP-ViT-g-rho50-k1-constrained 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 laion/CLIP-ViT-g-14-laion2B-s34B-b88K. The text encoder is finetuned with LEAF at $k=1$ with $\rho=50$ and semantic constraints.
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At a glance
- License
- mit
- Model type
- clip
- Access
- Public
- Created
- Apr 16, 2025
- Updated
- May 31, 2025
- SHA
- 14214a26
Base models
Model card
From the Hugging Face model README
Model Initialized from laion/CLIP-ViT-g-14-laion2B-s34B-b88K. The text encoder is finetuned with LEAF at $k=1$ with $\rho=50$ and semantic constraints.
To load this model use:
from transformers import CLIPProcessor, CLIPModel
model_name = "LEAF-CLIP/OpenCLIP-ViT-g-rho50-k1-constrained"
processor_name = "laion/CLIP-ViT-g-14-laion2B-s12B-b42K"
model = CLIPModel.from_pretrained(model_name)
processor = CLIPProcessor.from_pretrained(processor_name)
- Type
- clip
- License
- mit
- Created
- Apr 16, 2025
- Updated
- May 31, 2025