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
- Xet hash:
- 693ec4b3922b0bd306bf7b4989e115ffbfeb7b0c08b31bc6d956818c6bb07f61
- Size of remote file:
- 11.4 MB
- SHA256:
- aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
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