Instructions to use krmk90/qwen2_5-7b-grounding_absolute_coord_augmented_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use krmk90/qwen2_5-7b-grounding_absolute_coord_augmented_4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-VL-7B-Instruct") model = PeftModel.from_pretrained(base_model, "krmk90/qwen2_5-7b-grounding_absolute_coord_augmented_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1b7247524a41eec5a7f7f15de90b9a685d9ce6440e863e078da82386200ea2f7
- Size of remote file:
- 5.69 kB
- SHA256:
- 1e8bff0e5e29d28c46c642665bd2bbb99d9acff72beeeebe131daf6ff0f46f19
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.