alterlab-transformers
From the author
Loads, runs, and fine-tunes pretrained models with Hugging Face Transformers v5 (PyTorch-only) — pipeline() inference for chat-model text generation, text classification, NER, zero-shot, speech recognition, image classification, object detection, and image-text-to-text VLMs; AutoModel/AutoTokenizer loading with dtype, device_map and bitsandbytes quantization; generate() decoding control; and Trainer fine-tuning with optional PEFT/LoRA. Use when running inference with a Hugging Face Hub checkpoint, fine-tuning BERT/ModernBERT/Qwen-style models on a custom labelled dataset, controlling generation (sampling, beam search, streaming, chat templates), or porting v4 code (torch_dtype, removed summarization/translation/QA pipelines, TF/Flax) to v5. Part of the AlterLab Academic Skills suite.
Install
npx skills add AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-transformers -a claude-code
Installs to .claude/skills/alterlab-transformers/ · Each command fetches the skill straight from GitHub with the open skills CLI.
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