Search
AI & LLM Engineering · Amazon Web Services · huggingface/skills
4 skills found.
- AI & LLM Engineering (remove filter)
- Amazon Web Services (remove filter)
- huggingface/skills (remove filter)
Skills
Sort:BestMost starsTrending todayTrending this weekTrending this monthNewestRecently updatedName
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Finds or validates a usable SageMaker execution role before deploying or training, so scripts do not try to create IAM roles they lack permission to create. | huggingface/ | 11k | 1 repo | ~1.8k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 2 | 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/ | 11k | 1 repo | ~4.6k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 3 | Sets up an isolated Python environment with a supported interpreter and current boto3 before any SageMaker deployment, training or AWS automation code runs. | huggingface/ | 11k | 2 repos | ~1.7k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 4 | 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/ | 11k | 1 repo | ~2.1k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
