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"