Image-Text-to-Text
PEFT
Safetensors
Korean
lora
vision
image-classification
vision-language
korean
pest-detection
agriculture
qwen
qwen3.5
unsloth
multimodal
conversational
Eval Results (legacy)
Instructions to use pfox1995/pest-detector-deploy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pfox1995/pest-detector-deploy with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3.5-9B") model = PeftModel.from_pretrained(base_model, "pfox1995/pest-detector-deploy") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Commit History
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Add restart_server.sh (server.py + restart_server.sh + Korean README expansion)
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Add server.py (server.py + restart_server.sh + Korean README expansion)
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Add README.md (server.py + restart_server.sh + Korean README expansion)
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Translate README to Korean and add YAML model card metadata
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Initial deploy-ready bundle: adapter + README + inference.py + requirements.txt
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initial commit
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