huggingface-accelerate
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.
Install
npx skills add davila7/claude-code-templates@huggingface-accelerateRuns in your terminal. Adds the skill globally for Claude Code, Cursor, Codex and others; add -g -y to skip prompts.
What it does
HuggingFace Accelerate - Unified Distributed Training Quick start Accelerate simplifies distributed training to 4 lines of code. Installation: Convert PyTorch script (4 lines): Run (single command): Common workflows Workflow 1: From single GPU to multi-GPU Original script: With Accelerate (4 lines added): Configure (interactive): Questions: - Which machine? (single/multi GPU/TPU/CPU) - How many machines? (1) - Mixed precision? (no/fp16/bf16/fp8) - DeepSpeed? (no/yes) Launch (works on any setup): Workflow 2: Mixed precision training Enable FP16/BF16: Workflow 3: DeepSpeed ZeRO integration…
Excerpt from the skill's own SKILL.md. Read the full file on GitHub before installing: skills run with your agent's permissions.
View source on GitHubBefore you install
Skills are plain text instructions the agent follows, sometimes with scripts. Check the source, prefer repositories with many installs and stars, and read any script it ships.
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