Image-Text-to-Text
PEFT
Safetensors
lora
multimodal
vision-language
uav
aerial
visual-question-answering
multi-agent-perception
conversational
Instructions to use EasonFan/aircop-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use EasonFan/aircop-7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/hpc2hdd/home/yfan546/data/hf_cache/hub/models--Qwen--Qwen2.5-VL-7B-Instruct/snapshots/cc594898137f460bfe9f0759e9844b3ce807cfb5") model = PeftModel.from_pretrained(base_model, "EasonFan/aircop-7b") - Notebooks
- Google Colab
- Kaggle
| {% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system | |
| You are a helpful assistant.<|im_end|> | |
| {% endif %}<|im_start|>{{ message['role'] }} | |
| {% if message['content'] is string %}{{ message['content'] }}<|im_end|> | |
| {% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|> | |
| {% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant | |
| {% endif %} |