Hugging Face · Deployment

Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.

huggingface/skills

Sets up an isolated Python environment with a supported interpreter and current boto3 before any SageMaker deployment, training or AWS automation code runs.

huggingface/skills

Deploys SageMaker endpoints with autoscaling, CloudWatch alarms and tags on by default, using scripts for real-time, scale-to-zero and async setups.

huggingface/skills

Releases a new imcui version on GitHub, then deploys it to a test and a production Hugging Face Space from a dedicated huggingface branch.

Vincentqyw/image-matching-webui

Builds an OpenEnv (Hugging Face) variant of an RL environment.

adithya-s-k/FineEnvs

A skill your agent uses when adding, debugging, or validating a bring-your-own VLM in VSS RT-VLM, including custom Hugging Face or NGC checkpoints, vLLM adapters or plugins, model shims, and…

NVIDIA-AI-Blueprints/video-search-and-summarization

Deploy vLLM to Kubernetes (K8s) with GPU support, health probes, and OpenAI-compatible API endpoint.

vllm-project/vllm-skills

Entry point for hosting a model on Amazon SageMaker: asks a few questions, picks a deployment pathway and hands off to the specialist skills.

huggingface/skills

Deploy the article to a Hugging Face Space. An agent skill from adithya-s-k/FineEnvs.

adithya-s-k/FineEnvs

Select and verify the current region-specific serving container URI for a SageMaker model deployment.

waybarrios/opencode-power-pack