Hugging Face does maintain a package named Text Embedding Inference (TEI) with GPU/CPU-optimized container images. While I have only used this for hosting embedding models, it does appear to support Roberta architecture classifiers (specifically sentiment analysis).

https://github.com/huggingface/text-embeddings-inference

You can always run a zero shot pipeline in HF with a simple Flask/FastAPI application.