V-JEPA model

This is a Vision Transformer (ViT) large model, trained using the V-JEPA method.

Installation

First, clone and install the JEPA package:

git clone -b add_hf https://github.com/nielsrogge/jepa.git
cd jepa
pip install -r requirements.txt

One can instantiate the model as follows:

from src.models.vision_transformer import VisionTransformer

model = VisionTransformer.from_pretrained("nielsr/vit-large-patch16-v-jepa")

Safetensors

Model size

305M params

Tensor type

F32

Inference Providers NEW

This model is not currently available via any of the supported Inference Providers.

The model cannot be deployed to the HF Inference API: The model has no pipeline_tag.