Image-Text-to-Text
PEFT
Safetensors
lora
multimodal
vision-language
uav
aerial
visual-question-answering
multi-agent-perception
conversational
Instructions to use EasonFan/aircop-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EasonFan/aircop-8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/hpc2hdd/home/yfan546/data/modelscope_cache/Qwen/Qwen3-VL-8B-Instruct") model = PeftModel.from_pretrained(base_model, "EasonFan/aircop-8b") - Notebooks
- Google Colab
- Kaggle
Download training_loss.png from EasonFan/aircop-8b: direct link, hf CLI and curl.
- Browser
- Download file 45.1 kB
-
https://huggingface.co/EasonFan/aircop-8b/resolve/main/training_loss.png
- Command line
-
hf download hf://EasonFan/aircop-8b/training_loss.png
-
curl -L -o training_loss.png https://huggingface.co/EasonFan/aircop-8b/resolve/main/training_loss.png
45.1 kB
