Claude-skill-registry hf-job-submit

Submit training jobs to Hugging Face cloud GPUs

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/hf-job-submit" ~/.claude/skills/majiayu000-claude-skill-registry-hf-job-submit && rm -rf "$T"

manifest: skills/data/hf-job-submit/SKILL.md

source content

HF Job Submit

Submit a Python training script to run on Hugging Face's cloud GPU infrastructure.

How to Use

$CLAUDE_CONFIG_DIR/skills/hf-job-submit/scripts/hf-job-submit.sh <script_path> <hardware> <packages>

Arguments

Argument Description Example

script_path

Path to Python training script

/home/user/workspace/train.py

hardware

GPU hardware type

t4-small

a10g-large

packages

Space-separated pip packages

"trl transformers datasets"

Hardware Options

Type	GPU	VRAM	Best For
`t4-small`	T4	16GB	Models < 1B
`t4-medium`	T4	16GB	Models 1-3B
`a10g-small`	A10G	24GB	Models 1-3B
`a10g-large`	A10G	24GB	Models 3-7B (LoRA)
`a100-large`	A100	40GB	Models 3-7B (LoRA)

Prerequisites

```
HF_TOKEN
```
environment variable must be set
Hugging Face Pro or Team account with GPU Jobs access

Output

Returns the Job ID on success, which can be used with

hf-job-status

and

hf-job-logs

Example

$CLAUDE_CONFIG_DIR/skills/hf-job-submit/scripts/hf-job-submit.sh \
  "/home/user/workspace/train.py" \
  "t4-small" \
  "trl transformers datasets peft accelerate"