hf-cloud-serving-image-selection
hf-cloud-serving-image-selection is an agent skill published by huggingface, listed under training models. It lives in the huggingface/skills repository, which has 11,213 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-09-16.
Selects the appropriate container for deploying a SageMaker model and retrieves its current image URI. Prefers HuggingFace-curated Deep Learning Containers and uses generic images only when HuggingFace options are incompatible. Ensures up-to-date and region-specific image URIs are used, avoiding stale-image failures.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads huggingface/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add huggingface/skills
What it connects to
Unverified means a mention in the skill’s own description, not a citation. A wrong claim here costs nothing to correct and nothing to trust yet.
Maintenance
Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.
hf-cloud-serving-image-selection compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| hf-cloud-serving-image-selection (this page) | huggingface | Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this sk… | 11,213 | 2026-10-23 |
| hf-cloud-sagemaker-deployment-planner(same repository) | huggingface | Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants… | 11,213 | 2026-10-23 |
| huggingface-llm-trainer(same repository) | huggingface | Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with… | 11,213 | 2026-10-23 |
| huggingface-lora-space-builder(same repository) | huggingface | Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to cre… | 11,213 | 2026-10-23 |
| huggingface-vision-trainer(same repository) | huggingface | Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classificat… | 11,213 | 2026-10-23 |
| train-sentence-transformers(same repository) | huggingface | Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static emb… | 11,213 | 2026-10-23 |
| trl-training(same repository) | huggingface | Post-train LLMs with TRL (Transformers Reinforcement Learning) — SFT, DPO, GRPO, KTO, and reward-model traini… | 11,213 | 2026-10-23 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about hf-cloud-serving-image-selection
- What does hf-cloud-serving-image-selection do?
- Selects the appropriate container for deploying a SageMaker model and retrieves its current image URI. Prefers HuggingFace-curated Deep Learning Containers and uses generic images only when HuggingFace options are incompatible. Ensures up-to-date and region-specific image URIs are used, avoiding stale-image failures.
- How do I install hf-cloud-serving-image-selection?
- Run npx skills add huggingface/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes hf-cloud-serving-image-selection?
- huggingface.
- Is hf-cloud-serving-image-selection maintained, and what licence does it use?
- Its repository has 11,213 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-23. The repository declares the Apache-2.0 licence.
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