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Model Training Toolkit

Train and fine-tune models end to end — pull weights and datasets with the Hugging Face CLI, scale training with Accelerate, run jobs on managed GPUs, fine-tune with LoRA/QLoRA, and orchestrate the pipeline with tracked experiments

6 skills · Works with Claude Code, Codex, Cursor & more

⚙️ Engineering
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Hugging Face Hub CLI

Drive the Hugging Face Hub from the terminal with the hf CLI. Download and upload models, datasets, and Spaces, create and manage repos, handle authentication, and clean up local cache.

Hugging Face 2.8K
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huggingface cli models
mkdir -p ~/.claude/skills/huggingface-cli && curl -fsSL https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/HEAD/skills/cli-automation/hugging-face-cli/SKILL.md -o ~/.claude/skills/huggingface-cli/SKILL.md
⚙️ Engineering
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Hugging Face Accelerate

Add distributed training to any PyTorch script in a few lines with Hugging Face Accelerate. Unified API over DeepSpeed, FSDP, and DDP with automatic device placement and mixed precision (FP16/BF16/FP8).

Hugging Face 2.1K
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huggingface accelerate distributed-training
mkdir -p ~/.claude/skills/huggingface-accelerate && curl -fsSL https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/HEAD/skills/data-ai/huggingface-accelerate/SKILL.md -o ~/.claude/skills/huggingface-accelerate/SKILL.md
⚙️ Engineering
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Hugging Face Jobs

Run training and batch ML workloads on Hugging Face Jobs infrastructure. Launch UV scripts and Docker-based jobs, pick the right GPU/CPU hardware, estimate cost, and authenticate with tokens.

Hugging Face 1.2K
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huggingface jobs training
mkdir -p ~/.claude/skills/huggingface-jobs && curl -fsSL https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/HEAD/skills/devops/hugging-face-jobs/SKILL.md -o ~/.claude/skills/huggingface-jobs/SKILL.md
⚙️ Engineering
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LLM Fine-Tuning Expert

Fine-tune LLMs with LoRA, QLoRA, and PEFT. Prepares JSONL datasets, sets hyperparameters, runs adapter training and instruction tuning, and applies RLHF/DPO — then quantizes and deploys the resulting model.

Community 3.2K
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fine-tuning lora qlora
mkdir -p ~/.claude/skills/fine-tuning-expert && curl -fsSL https://raw.githubusercontent.com/Jeffallan/claude-skills/HEAD/skills/fine-tuning-expert/SKILL.md -o ~/.claude/skills/fine-tuning-expert/SKILL.md
⚙️ Engineering
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ML Pipeline Engineer

Design and implement production ML pipelines. Configure experiment tracking with MLflow or Weights & Biases, build Kubeflow/Airflow DAGs, create Feast feature stores and model registries, and automate retraining and validation.

Community 2.2K
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mlops ml-pipeline mlflow
mkdir -p ~/.claude/skills/ml-pipeline && curl -fsSL https://raw.githubusercontent.com/Jeffallan/claude-skills/HEAD/skills/ml-pipeline/SKILL.md -o ~/.claude/skills/ml-pipeline/SKILL.md
⚙️ Engineering
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ML Experiment Tracking

Track ML experiments with reproducible parameters, metrics, and artifacts. Logs runs, compares hyperparameter sweeps, and versions models so training results stay reproducible and easy to compare.

Community 1.5K
Scanned
mlops experiment-tracking reproducibility
mkdir -p ~/.claude/skills/ml-experiment-tracking && curl -fsSL https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/HEAD/skills/machine-learning/ml-experiment-tracking/SKILL.md -o ~/.claude/skills/ml-experiment-tracking/SKILL.md

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