{"library":"adapters","type":"library","category":null,"description":"A unified library for parameter-efficient and modular transfer learning, supporting adapter methods like LoRA, Bottleneck Adapters, AdapterPlus, DoRA, and ReFT. Built on Hugging Face Transformers. Current version: 1.3.0. Release cadence: irregular, roughly every 2-3 months.","language":"python","status":"active","version":"1.3.0","tags":["parameter-efficient-fine-tuning","transfer-learning","adapter-hub","huggingface"],"last_verified":"Fri May 01","install":[{"cmd":"pip install adapters","imports":["from adapters import AutoAdapterModel","from adapters import AdapterConfig","from adapters import LoRAConfig","from adapters import setup_adapter_training"]}],"homepage":null,"github":"https://github.com/adapter-hub/adapters","docs":null,"changelog":null,"pypi":"https://pypi.org/project/adapters/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}