Request: Example Fine-Tuning Script
Hi Blueway team,
Thanks for creating this inference space for Blueway/inference-endpoint-for-omdet-turbo-swin-tiny-hf — it’s been really helpful for exploring the model’s capabilities interactively.
I’m currently working on a project where I’d like to fine-tune this model on a custom dataset that includes rich attribute captions.
Would it be possible for you to share:
A minimal example or notebook that demonstrates fine-tuning this model,
Guidance for integrating LoRA (via peft, unsloth, etc.),
Recommended dataset format (e.g., COCO-style or your internal structure),
Any tips for inference after fine-tuning (e.g., using the same pipeline as in this Space)?
Having an official fine-tuning reference would be greatly beneficial for both individual users and the broader community working on vision-language applications.
Thanks again for your great work and support!
Best regards,
Computer Engineer Onur ULU
Hi,
Sorry for the late response. We haven't done any fine-tuning, our only contribution is to code a handler around the model to access it with the Hugging Face proxy. (handler.py)
Sadly, we can't help you further
Cyrille