Average Model Cost: $0.0000
Number of Runs: 13,358
Models by this creator
The tiny-random-OwlViTModel is a feature extraction model that is designed for computer vision tasks. It is a small variant of the OwlViT model, which is a vision transformer architecture. This model is trained to extract low-level features from images, which can be used as input for downstream tasks such as object detection or image classification. It is particularly useful for scenarios where computational resources are limited, as it has a smaller size and requires less computational power compared to larger models.
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