sandy1990418/Finetune-Qwen2.5-VL
Fine-tuning Qwen2.5-VL for vision-language tasks | Optimized for Vision understanding | LoRA & PEFT support.
This toolkit helps machine learning engineers customize the Qwen2.5-VL visual language model for specific tasks. You provide your own image-text paired datasets and configuration settings, then train the model to better understand and generate responses related to your unique visual content. It's designed for ML engineers working on computer vision and natural language processing applications.
154 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer needing to fine-tune a visual language model with your own specialized image and text data.
Not ideal if you are a data scientist or researcher without experience in deep learning model fine-tuning and command-line interfaces.
Stars
154
Forks
20
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 07, 2025
Commits (30d)
0
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