[{"data":1,"prerenderedAt":12},["ShallowReactive",2],{"stack-tr-en-transformers":3},{"tagline":4,"description":5,"strengths":6,"useCase":11},"The reference library for loading, fine-tuning and running models from the Hugging Face Hub.","Transformers is Hugging Face's open-source library that defines model architectures (LLMs, vision, audio, multimodal) and loads their pretrained weights from the Hub in one line: AutoModel, AutoTokenizer, pipeline(). The Trainer standardizes fine-tuning, with PEFT (LoRA) and quantization to fit on a modest GPU, and its model definitions serve as the reference for inference engines such as vLLM. It's our choice when a project needs to experiment with, fine-tune or evaluate open models before putting them into production.",[7,8,9,10],"Over a million Hub models, loaded in a single line.","Text, vision, audio and multimodal: one API, pipeline() included.","Trainer, PEFT\u002FLoRA and quantization: fine-tuning on a modest GPU.","Reference model definitions, reused by vLLM, llama.cpp and MLX.","Fine-tuning open models, text classification and extraction, computer vision, model prototyping.",1792675979870]