Inference
Remote VAEs for decoding with Inference Endpoints ๐ค
The article discusses the release of Remote Variational Autoencoders (VAEs) for decoding tasks within Hugging Face's Inference Endpoints. This implementation allows practitioners to leverage VAEs as a service, facilitating the deployment of generative models without requiring local resources. Key features include improved scalability and reduced latency for inference, which are critical for applications requiring real-time generative capabilities.
vaeinference-endpoints