The CLIP model was developed by OpenAI to investigate the robustness of computer vision models. It uses a Vision Transformer architecture and was trained on a large dataset of image-caption pairs. The model shows promise in various computer vision tasks but also has limitations, including difficulties with fine-grained classification and potential biases in certain applications.
https://api.deepinfra.com/v1/openai/images$0.000500 per second
| Model | Max resolution | Resolutions | Aspect ratios | Batch size |
|---|---|---|---|---|
| clip-vit-base-patch32 | — | — | — | — |
| clip-vit-large-patch14-336 | — | — | — | — |
/v1/models/deepinfra/openai/clip-vit-base-patch32The CLIP model was developed by OpenAI to investigate the robustness of computer vision models. It uses a Vision Transformer architecture and was trained on a large dataset of image-caption pairs. The model shows promise in various computer vision tasks but also has limitations, including difficulties with fine-grained classification and potential biases in certain applications.