clip-vit-base-patch32 is an AI model developed by openai. With 17,537,199 downloads and 858 likes on Hugging Face, it has gained significant adoption in the AI community.
This model is categorized as Vision and is designed for zero-shot-image-classification.
Performance benchmarks and evaluation metrics for this model will be added soon. For now, refer to the Hugging Face model card for any available benchmark results.
To run clip-vit-base-patch32, you'll need a system with adequate GPU memory. As a Vision model, it typically requires significant VRAM for optimal performance.
For the best experience, consider a Q4KM hard drive pre-loaded with this model.
This model is licensed under Unknown. Please review the specific terms of the license to understand commercial use restrictions and attribution requirements.
For detailed licensing information, visit the Hugging Face repository.
clip-vit-base-patch32 can be used for various Vision applications. Common use cases include text generation, content creation, and AI-powered solutions.
openai is the organization behind clip-vit-base-patch32. They contribute to the open-source AI community by providing accessible models for developers and researchers.
Visit their Hugging Face profile to see their other work.
Detailed training methodology and dataset information for this model are available on the Hugging Face model card. Training typically involves large-scale datasets and significant computational resources.
For specific training details, refer to the model's technical documentation.