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CLIP-LoRA is the official implementation of Low-Rank Few-Shot Adaptation of Vision-Language Models (CLIP-LoRA), enabling easy, few-shot adaptation of CLIP and related models. It uses low-rank adapters (LoRA) added to vision-language architectures to adapt with fixed hyperparameters across tasks and shot counts, without adding inference latency. The repository provides installation and usage guidance to facilitate applying LoRA to CLIP and similar vision-language models.
AI named CLIP-LoRA in January 2026.